Model12
Several authors
Created: 12-04-2024. Last modified: 25-04-2024.
Let us set some global options for all code chunks in this document.
knitr::opts_chunk$set(
message = FALSE, # Disable messages printed by R code chunks
warning = FALSE, # Disable warnings printed by R code chunks
echo = TRUE, # Show R code within code chunks in output
include = TRUE, # Include both R code and its results in output
eval = TRUE, # Evaluate R code chunks
cache = FALSE, # Enable caching of R code chunks for faster rendering
fig.align = "center",
out.width = "100%",
retina = 2,
error = TRUE,
collapse = TRUE
)
rm(list = ls())
set.seed(1982)1 Preprocessing
Let us now load some required libraries.
# Load required libraries
# inla.upgrade(testing = TRUE)
# remotes::install_github("inlabru-org/inlabru", ref = "devel")
# remotes::install_github("davidbolin/rspde", ref = "devel")
# remotes::install_github("davidbolin/metricgraph", ref = "devel")
library(INLA)
inla.setOption(num.threads = 7)
library(inlabru)
library(rSPDE)
library(MetricGraph)
library(plotly)
library(dplyr)
library(sf)
library(here)Function standarize() below is later used to standardize
the covariate SpeedLimit.
standardize <- function(x) {return((x - mean(x)) / sd(x))}To keep track of the changes, we provide summaries of every new created object. Those summaries can be accessed by pressing the Show buttons below
We load the graph object sf_graph (which only contains
weights) and the data (already graph-processed).
load(here("Graph_objects/graph_construction_25_04_2024partialtomtomwhichlonglatsf.RData"))
load(here("Data_files/data_day7142128_hour13_with_no_consecutive_zeros_partialtomtom_graph_25_04_2024_processed.RData"))
data_on_graph = data_on_graph %>%
dplyr::select(-datetime)sf_graph$get_edge_lengths() %>% head() %>% capture.output() %>% grep("^Units:", ., value = TRUE)
## [1] "Units: [km]"summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 4017
## Degree 2: 1821; Degree 3: 180; Degree 4: 1402; Degree 5: 94; Degree 6: 367;
## Degree 7: 36; Degree 8: 116; Degree 12: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 6827
## Lengths:
## Min: 0.002834658 ; Max: 0.2743201 ; Total: 311.1441
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: TRUE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data: The graph has no data!
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0
summary(data_on_graph)
## ID speed day .distance_to_graph
## Min. :5701 Min. : 0.000 Min. :1.000 Min. :0.000000
## 1st Qu.:6571 1st Qu.: 1.609 1st Qu.:2.000 1st Qu.:0.001655
## Median :6687 Median :14.484 Median :3.000 Median :0.003552
## Mean :7106 Mean :15.142 Mean :2.556 Mean :0.004469
## 3rd Qu.:7281 3rd Qu.:24.140 3rd Qu.:4.000 3rd Qu.:0.006152
## Max. :8969 Max. :99.779 Max. :4.000 Max. :0.019991
## .edge_number .distance_on_edge .group .coord_x
## Min. : 1 Min. :0.0000 Length:39574 Min. :-122.4
## 1st Qu.:1413 1st Qu.:0.2726 Class :character 1st Qu.:-122.4
## Median :2879 Median :0.5149 Mode :character Median :-122.4
## Mean :3090 Mean :0.5089 Mean :-122.4
## 3rd Qu.:4753 3rd Qu.:0.7501 3rd Qu.:-122.4
## Max. :6826 Max. :1.0000 Max. :-122.4
## .coord_y
## Min. :37.77
## 1st Qu.:37.78
## Median :37.79
## Mean :37.79
## 3rd Qu.:37.79
## Max. :37.81The following commands remove zero speed observations that are 1m away from the graph, and after that, they remove any speed observations that are 3m away from the graph.
to_remove = data_on_graph %>%
filter(speed == 0, .distance_to_graph > 0.001)
data_on_graph = setdiff(data_on_graph, to_remove) %>%
filter(.distance_to_graph <= 0.003)summary(to_remove)
## ID speed day .distance_to_graph .edge_number
## Min. :5701 Min. :0 Min. :1.000 Min. :0.001001 Min. : 1
## 1st Qu.:6574 1st Qu.:0 1st Qu.:2.000 1st Qu.:0.002757 1st Qu.:1376
## Median :6688 Median :0 Median :3.000 Median :0.004563 Median :2788
## Mean :7078 Mean :0 Mean :2.556 Mean :0.005453 Mean :3031
## 3rd Qu.:7277 3rd Qu.:0 3rd Qu.:4.000 3rd Qu.:0.007129 3rd Qu.:4715
## Max. :8969 Max. :0 Max. :4.000 Max. :0.019988 Max. :6812
## .distance_on_edge .group .coord_x .coord_y
## Min. :0.0000 Length:8597 Min. :-122.4 Min. :37.77
## 1st Qu.:0.3078 Class :character 1st Qu.:-122.4 1st Qu.:37.78
## Median :0.5301 Mode :character Median :-122.4 Median :37.79
## Mean :0.5177 Mean :-122.4 Mean :37.79
## 3rd Qu.:0.7362 3rd Qu.:-122.4 3rd Qu.:37.79
## Max. :1.0000 Max. :-122.4 Max. :37.81
summary(data_on_graph)
## ID speed day .distance_to_graph
## Min. :5701 Min. : 0.000 Min. :1.00 Min. :0.0000000
## 1st Qu.:6565 1st Qu.: 9.656 1st Qu.:2.00 1st Qu.:0.0005835
## Median :6683 Median :19.312 Median :3.00 Median :0.0012618
## Mean :7115 Mean :19.385 Mean :2.55 Mean :0.0013511
## 3rd Qu.:7286 3rd Qu.:27.359 3rd Qu.:4.00 3rd Qu.:0.0021077
## Max. :8969 Max. :99.779 Max. :4.00 Max. :0.0029999
## .edge_number .distance_on_edge .group .coord_x
## Min. : 1 Min. :0.0000 Length:14534 Min. :-122.4
## 1st Qu.:1376 1st Qu.:0.2552 Class :character 1st Qu.:-122.4
## Median :2956 Median :0.5139 Mode :character Median :-122.4
## Mean :3130 Mean :0.5099 Mean :-122.4
## 3rd Qu.:4803 3rd Qu.:0.7697 3rd Qu.:-122.4
## Max. :6817 Max. :1.0000 Max. :-122.4
## .coord_y
## Min. :37.77
## 1st Qu.:37.78
## Median :37.79
## Mean :37.79
## 3rd Qu.:37.79
## Max. :37.81We add data to the graph.
sf_graph$add_observations(data = data_on_graph,
group = "day",
normalized = TRUE,
clear_obs = TRUE)sf_graph$get_data()
## # A tibble: 14,534 × 9
## ID speed day .distance_to_graph .coord_x .coord_y .edge_number
## <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 6666 0 1 0.00100 -122. 37.8 1
## 2 8941 12.9 1 0.00230 -122. 37.8 4
## 3 8768 24.1 1 0.00233 -122. 37.8 6
## 4 8929 32.2 1 0.00151 -122. 37.8 6
## 5 8965 0 1 0.000647 -122. 37.8 9
## 6 8965 19.3 1 0.00170 -122. 37.8 14
## 7 8954 22.5 1 0.00103 -122. 37.8 14
## 8 8774 19.3 1 0.00279 -122. 37.8 14
## 9 6655 30.6 1 0.00208 -122. 37.8 18
## 10 6677 14.5 1 0.000436 -122. 37.8 20
## # ℹ 14,524 more rows
## # ℹ 2 more variables: .distance_on_edge <dbl>, .group <chr>
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 4017
## Degree 2: 1821; Degree 3: 180; Degree 4: 1402; Degree 5: 94; Degree 6: 367;
## Degree 7: 36; Degree 8: 116; Degree 12: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 6827
## Lengths:
## Min: 0.002834658 ; Max: 0.2743201 ; Total: 311.1441
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: TRUE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data:
## Columns: ID speed day
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0We get the values of the weights at data locations. This essentially gives us covariates from the weights.
sf_graph$edgeweight_to_data(data_loc = TRUE)sf_graph$get_data()
## # A tibble: 57,108 × 54
## ID speed day .distance_to_graph Length FRC SpeedLimit StreetName
## <int> <dbl> <dbl> <dbl> <dbl> <chr> <dbl> <chr>
## 1 NA NA NA NA 0.0361 5 40 Harrison St
## 2 NA NA NA NA 0.0361 5 40 Harrison St
## 3 NA NA NA NA 0.0361 5 40 Harrison St
## 4 6666 0 1 0.00100 0.0361 5 40 Harrison St
## 5 NA NA NA NA 0.0361 5 40 Harrison St
## 6 NA NA NA NA 0.0361 5 40 Harrison St
## 7 NA NA NA NA 0.0361 5 40 Harrison St
## 8 NA NA NA NA 0.0361 5 40 Harrison St
## 9 NA NA NA NA 0.0361 5 40 Harrison St
## 10 8941 12.9 1 0.00230 0.112 6 35 Rhode Island St
## # ℹ 57,098 more rows
## # ℹ 46 more variables: harmonicAverageSpeed <dbl>, medianSpeed <dbl>,
## # averageSpeed <dbl>, sampleSize <int>, averageTravelTime <dbl>,
## # medianTravelTime <dbl>, travelTimeRatio <dbl>, List_Number <int>,
## # `5percentile` <int>, `10percentile` <int>, `15percentile` <int>,
## # `20percentile` <int>, `25percentile` <int>, `30percentile` <int>,
## # `35percentile` <int>, `40percentile` <int>, `45percentile` <int>, …
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 4017
## Degree 2: 1821; Degree 3: 180; Degree 4: 1402; Degree 5: 94; Degree 6: 367;
## Degree 7: 36; Degree 8: 116; Degree 12: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 6827
## Lengths:
## Min: 0.002834658 ; Max: 0.2743201 ; Total: 311.1441
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: TRUE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data:
## Columns: ID speed day Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0When running
sf_graph$edgeweight_to_data(data_loc = TRUE), some
NA values are created (because the data is grouped). We
remove them below. We also standardize the SpeedLimit
covariate.
data = sf_graph$get_data() %>%
drop_na(-StreetName) %>% # this drops all rows with at least one NA value but without taking into account StreetName
mutate(across(c("SpeedLimit"), ~standardize(.))) %>%
dplyr::select(speed, SpeedLimit)The code of chunk below was executed only one time.
{r, eval = FALSE}
aux = data |>
rename(distance_on_edge = .distance_on_edge, edge_number = .edge_number) |>
as.data.frame() |>
dplyr::select(edge_number, distance_on_edge, .group)
distmatrixlist = list()
for (i in 1:4) {
distmatrixlist[[i]] = sf_graph$compute_geodist_PtE(PtE = aux %>%
filter(.group == as.character(i)) %>%
dplyr::select(-.group),
normalized = TRUE,
include_vertices = FALSE)
}
save(distmatrixlist, file = here("Models_output/distmatrixfixed.RData"))The code of chunk above was executed only one time.
summary(data)
## speed SpeedLimit .group .edge_number
## Min. : 0.000 Min. :-2.3743 Length:14534 Min. : 1
## 1st Qu.: 9.656 1st Qu.:-0.1006 Class :character 1st Qu.:1376
## Median :19.312 Median :-0.1006 Mode :character Median :2956
## Mean :19.385 Mean : 0.0000 Mean :3130
## 3rd Qu.:27.359 3rd Qu.:-0.1006 3rd Qu.:4803
## Max. :99.779 Max. : 6.6173 Max. :6817
## .distance_on_edge .coord_x .coord_y
## Min. :0.0000 Min. :-122.4 Min. :37.77
## 1st Qu.:0.2552 1st Qu.:-122.4 1st Qu.:37.78
## Median :0.5139 Median :-122.4 Median :37.79
## Mean :0.5099 Mean :-122.4 Mean :37.79
## 3rd Qu.:0.7697 3rd Qu.:-122.4 3rd Qu.:37.79
## Max. :1.0000 Max. :-122.4 Max. :37.81We add the data again but now with the new standardized
SpeedLimit covariate.
sf_graph$add_observations(data = data,
group = "day",
normalized = TRUE,
clear_obs = TRUE)sf_graph$get_data()
## # A tibble: 14,534 × 7
## speed SpeedLimit .coord_x .coord_y .edge_number .distance_on_edge .group
## <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <chr>
## 1 0 -0.101 -122. 37.8 1 0.437 1
## 2 12.9 -0.617 -122. 37.8 4 0.144 1
## 3 24.1 -0.617 -122. 37.8 6 0.252 1
## 4 32.2 -0.617 -122. 37.8 6 0.658 1
## 5 0 -0.927 -122. 37.8 9 0.601 1
## 6 19.3 -0.927 -122. 37.8 14 0.0247 1
## 7 22.5 -0.927 -122. 37.8 14 0.362 1
## 8 19.3 -0.927 -122. 37.8 14 0.832 1
## 9 30.6 -0.927 -122. 37.8 18 0.358 1
## 10 14.5 -0.927 -122. 37.8 20 0.309 1
## # ℹ 14,524 more rows
summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 4017
## Degree 2: 1821; Degree 3: 180; Degree 4: 1402; Degree 5: 94; Degree 6: 367;
## Degree 7: 36; Degree 8: 116; Degree 12: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 6827
## Lengths:
## Min: 0.002834658 ; Max: 0.2743201 ; Total: 311.1441
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: TRUE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh: The graph has no mesh!
##
## Data:
## Columns: speed SpeedLimit
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0We build a mesh.
h = 0.05
sf_graph$build_mesh(h = h)summary(sf_graph)
## A metric graph object with:
##
## Vertices:
## Total: 4017
## Degree 2: 1821; Degree 3: 180; Degree 4: 1402; Degree 5: 94; Degree 6: 367;
## Degree 7: 36; Degree 8: 116; Degree 12: 1;
## With incompatible directions: 0
##
## Edges:
## Total: 6827
## Lengths:
## Min: 0.002834658 ; Max: 0.2743201 ; Total: 311.1441
## Weights:
## Columns: Length FRC SpeedLimit StreetName harmonicAverageSpeed medianSpeed averageSpeed sampleSize averageTravelTime medianTravelTime travelTimeRatio List_Number 5percentile 10percentile 15percentile 20percentile 25percentile 30percentile 35percentile 40percentile 45percentile 50percentile 55percentile 60percentile 65percentile 70percentile 75percentile 80percentile 85percentile 90percentile 95percentile road_type class_6 class_5 class_4 class_0 class_3 class_1 upto1 upto3 upto4 upto5 upto6 density density_per_hour
## That are circles: 0
##
## Graph units:
## Vertices unit: degrees ; Lengths unit: km
##
## Longitude and Latitude coordinates: TRUE
## Which spatial package: sf
## CRS: EPSG:4326
##
## Some characteristics of the graph:
## Connected: TRUE
## Has loops: FALSE
## Has multiple edges: TRUE
## Is a tree: FALSE
## Distance consistent: TRUE
## Has Euclidean edges: FALSE
##
## Computed quantities inside the graph:
## Laplacian: FALSE ; Geodesic distances: TRUE
## Resistance distances: FALSE ; Finite element matrices: FALSE
##
## Mesh:
## Max h_e: 0.04999798 ; Min n_e: 0
##
## Data:
## Columns: speed SpeedLimit
## Groups: .group
##
## Tolerances:
## vertex-vertex: 0.001
## vertex-edge: 0.001
## edge-edge: 0We get the value of the weights at mesh locations. This will allow us
to built matrices B.sigma and B.range below.
Again,
sf_graph$edgeweight_to_data(mesh = TRUE, add = FALSE, return = TRUE)
creates repeated information (because the data is grouped). We fix that
by filtering one group. We also standardize the SpeedLimit
covariate.
mesh = sf_graph$edgeweight_to_data(mesh = TRUE,
add = FALSE,
return = TRUE) %>%
filter(.group == 1) %>%
mutate(across(c("SpeedLimit"), ~standardize(.))) %>%
dplyr:::select.data.frame(SpeedLimit)summary(mesh)
## SpeedLimit
## Min. :-1.9800
## 1st Qu.:-0.1744
## Median :-0.1744
## Mean : 0.0000
## 3rd Qu.:-0.1744
## Max. : 5.16041.1 Stationary model
- Observe that we are considering replicates.
stat.time.ini <- Sys.time()
################################################################################
################################# STATIONARY MODEL #############################
################################################################################
rspde_model_stat <- rspde.metric_graph(sf_graph,
parameterization = "matern",
nu.upper.bound = 1.5)str(rspde_model_stat)
## List of 20
## $ f :List of 3
## ..$ model : chr "cgeneric"
## ..$ n : int 21507
## ..$ cgeneric:List of 5
## .. ..$ model: chr "inla_cgeneric_rspde_stat_general_model"
## .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. ..$ n : int 21507
## .. ..$ debug: logi FALSE
## .. ..$ data :List of 5
## .. .. ..$ ints :List of 5
## .. .. .. ..$ n : int 21507
## .. .. .. ..$ debug : int 0
## .. .. .. ..$ graph_opt_i: int [1:135512] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. ..$ graph_opt_j: int [1:135512] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. ..$ rspde.order: int 2
## .. .. ..$ doubles :List of 11
## .. .. .. ..$ d : num 1
## .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. ..$ matrices_less : num [1:94764] 0.0797 0 0 0 0 ...
## .. .. .. ..$ matrices_full : num [1:207848] 0.0797 0 0 0 0 ...
## .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. ..$ start.nu : num 0.75
## .. .. ..$ characters:List of 5
## .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. ..$ parameterization : chr "matern"
## .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. ..$ matrices :List of 2
## .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. ..$ smatrices : list()
## .. ..- attr(*, "class")= chr "inla.cgeneric"
## $ cgeneric_type : chr "general"
## $ theta.prior.mean : num [1:2] 0 0.223
## $ prior.nu :List of 4
## ..$ loglocation: num -0.288
## ..$ mean : num 0.75
## ..$ prec : num 3
## ..$ logscale : num 1
## $ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## $ start.nu : num 0.75
## $ integer.nu : logi FALSE
## $ start.theta : num [1:2] 0 0.223
## $ stationary : logi TRUE
## $ rspde.order : num 2
## $ dim : num 1
## $ est_nu : logi TRUE
## $ nu.upper.bound : num 1.5
## $ prior.nu.dist : chr "lognormal"
## $ debug : logi FALSE
## $ type.rational.approx: chr "chebfun"
## $ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## $ fem_mesh :List of 5
## ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. ..@ factors : list()
## ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. ..@ factors : list()
## ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. ..@ factors : list()
## ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. ..@ factors : list()
## ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:147901] 0 1 230 983 984 985 986 989 1700 1701 ...
## .. .. ..@ p : int [1:7170] 0 28 52 89 122 151 171 209 249 274 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:147901] 1.41e+12 -1.06e+12 -2.25e+11 1.91e+11 -1.41e+12 ...
## .. .. ..@ factors : list()
## $ parameterization : chr "matern"
## $ n.spde : int 7169
## - attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"data_rspde_bru_stat <- graph_data_rspde(rspde_model_stat,
repl = ".all",
loc_name = "loc")str(data_rspde_bru_stat)
## List of 4
## $ data :List of 8
## ..$ speed : num [1:14534] 0 12.9 24.1 32.2 0 ...
## ..$ SpeedLimit : num [1:14534] -0.101 -0.617 -0.617 -0.617 -0.927 ...
## ..$ .coord_x : num [1:14534] -122 -122 -122 -122 -122 ...
## ..$ .coord_y : num [1:14534] 37.8 37.8 37.8 37.8 37.8 ...
## ..$ .edge_number : num [1:14534] 1 4 6 6 9 14 14 14 18 20 ...
## ..$ .distance_on_edge: num [1:14534] 0.437 0.144 0.252 0.658 0.601 ...
## ..$ .group : chr [1:14534] "1" "1" "1" "1" ...
## ..$ loc : num [1:14534, 1:2] 1 4 6 6 9 14 14 14 18 20 ...
## ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## $ index:List of 3
## ..$ field : int [1:28676] 1 2 3 4 5 6 7 8 9 10 ...
## ..$ field.group: int [1:28676] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ field.repl : int [1:28676] 1 1 1 1 1 1 1 1 1 1 ...
## ..- attr(*, "class")= chr [1:2] "inla_rspde_index" "list"
## ..- attr(*, "rspde.order")= num 0
## ..- attr(*, "integer_nu")= logi TRUE
## ..- attr(*, "n.mesh")= int 7169
## ..- attr(*, "name")= chr "field"
## ..- attr(*, "n.group")= int 1
## ..- attr(*, "n.repl")= int 4
## $ repl : chr [1:14534] "1" "1" "1" "1" ...
## $ basis:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. ..@ i : int [1:87204] 0 555 1905 1906 0 1050 1471 1472 1473 1905 ...
## .. ..@ p : int [1:86029] 0 4 11 11 11 11 12 13 15 15 ...
## .. ..@ Dim : int [1:2] 14534 86028
## .. ..@ Dimnames:List of 2
## .. .. ..$ : NULL
## .. .. ..$ : NULL
## .. ..@ x : num [1:87204] 0.563 0.0495 0.3595 0.7935 0.437 ...
## .. ..@ factors : list()cmp_stat = speed ~ -1 +
Intercept(1) +
field(loc, model = rspde_model_stat,
replicate = data_rspde_bru_stat[["repl"]])
rspde_fit_stat <-
bru(cmp_stat,
data = data_rspde_bru_stat[["data"]],
family = "gaussian",
options = list(verbose = FALSE)
)str(rspde_fit_stat)
## List of 56
## $ names.fixed : chr "Intercept"
## $ summary.fixed :'data.frame': 1 obs. of 7 variables:
## ..$ mean : num 21.8
## ..$ sd : num 4.05
## ..$ 0.025quant: num 13.8
## ..$ 0.5quant : num 21.8
## ..$ 0.975quant: num 29.7
## ..$ mode : num 21.8
## ..$ kld : num 1.36e-09
## $ marginals.fixed :List of 1
## ..$ Intercept: num [1:43, 1:2] 4.22 6.5 9.13 12.29 13.8 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ summary.lincomb :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb : NULL
## $ size.lincomb : NULL
## $ summary.lincomb.derived :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb.derived : NULL
## $ size.lincomb.derived : NULL
## $ mlik : num [1:2, 1] -55615 -55613
## ..- attr(*, "dimnames")=List of 2
## .. ..$ : chr [1:2] "log marginal-likelihood (integration)" "log marginal-likelihood (Gaussian)"
## .. ..$ : NULL
## $ cpo :List of 3
## ..$ cpo : logi(0)
## ..$ pit : logi(0)
## ..$ failure: logi(0)
## $ gcpo :List of 5
## ..$ gcpo : NULL
## ..$ kld : NULL
## ..$ mean : NULL
## ..$ sd : NULL
## ..$ groups: NULL
## $ po :List of 1
## ..$ po: num [1:14534] 0.0111 0.0304 0.036 0.0341 0.0208 ...
## $ waic :List of 4
## ..$ waic : num 108454
## ..$ p.eff : num 2796
## ..$ local.waic : num [1:14534] 10.13 7.78 6.92 7.21 9.31 ...
## ..$ local.p.eff: num [1:14534] 0.565 0.394 0.134 0.228 0.78 ...
## $ residuals :List of 1
## ..$ deviance.residuals: num [1:14534] -1.802 -1.016 -0.72 0.829 -1.44 ...
## $ model.random : chr "CGeneric"
## $ summary.random :List of 1
## ..$ field:'data.frame': 86028 obs. of 8 variables:
## .. ..$ ID : num [1:86028] 1 2 3 4 5 6 7 8 9 10 ...
## .. ..$ mean : num [1:86028] -1.23 -1.98 1.55 1.62 1.8 ...
## .. ..$ sd : num [1:86028] 7.18 6.81 7.64 7.89 8.27 ...
## .. ..$ 0.025quant: num [1:86028] -15.3 -15.3 -13.4 -13.9 -14.4 ...
## .. ..$ 0.5quant : num [1:86028] -1.23 -1.99 1.55 1.62 1.81 ...
## .. ..$ 0.975quant: num [1:86028] 12.9 11.4 16.5 17.1 18 ...
## .. ..$ mode : num [1:86028] -1.23 -1.99 1.55 1.62 1.81 ...
## .. ..$ kld : num [1:86028] 6.02e-12 6.29e-12 7.98e-12 9.02e-12 9.45e-12 ...
## $ marginals.random :List of 1
## ..$ field:List of 86028
## .. ..$ index.1 : num [1:43, 1:2] -31.9 -28 -23.4 -17.9 -15.3 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.2 : num [1:43, 1:2] -31.1 -27.4 -23.1 -17.8 -15.3 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.3 : num [1:43, 1:2] -31.1 -26.9 -22.1 -16.2 -13.4 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.4 : num [1:43, 1:2] -32.1 -27.8 -22.8 -16.8 -13.9 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.9 : num [1:43, 1:2] -34.4 -29.5 -23.8 -16.9 -13.5 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.10 : num [1:43, 1:2] -32.3 -27 -21 -13.7 -10.1 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.11 : num [1:43, 1:2] -41.1 -36.1 -30.2 -23.1 -19.7 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.12 : num [1:43, 1:2] -43.8 -38.3 -32 -24.4 -20.7 ...
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## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.13 : num [1:43, 1:2] -35.4 -31.4 -26.7 -21.1 -18.4 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.14 : num [1:43, 1:2] -38.4 -34.2 -29.3 -23.3 -20.5 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.18 : num [1:43, 1:2] -36 -31.6 -26.5 -20.3 -17.3 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.21 : num [1:43, 1:2] -46.3 -40.5 -33.8 -25.7 -21.7 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.22 : num [1:43, 1:2] -41.8 -36.6 -30.5 -23.1 -19.6 ...
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## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.23 : num [1:43, 1:2] -45.5 -40 -33.6 -25.8 -22.1 ...
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## .. ..$ n : num 21507
## .. ..$ N : num 21507
## .. ..$ Ntotal: num 86028
## .. ..$ ngroup: num 1
## .. ..$ nrep : num 4
## $ summary.linear.predictor :'data.frame': 100563 obs. of 7 variables:
## ..$ mean : num [1:100563] 15.8 19.4 25.6 29 11.6 ...
## ..$ sd : num [1:100563] 3.8 6.4 6.31 6.72 5.82 ...
## ..$ 0.025quant: num [1:100563] 8.292 6.825 13.232 15.784 0.159 ...
## ..$ 0.5quant : num [1:100563] 15.8 19.4 25.6 29 11.6 ...
## ..$ 0.975quant: num [1:100563] 23.2 31.9 38 42.1 23 ...
## ..$ mode : num [1:100563] 15.8 19.4 25.6 29 11.6 ...
## ..$ kld : num [1:100563] 5.73e-11 4.52e-11 4.14e-11 4.48e-11 4.50e-11 ...
## $ marginals.linear.predictor : NULL
## $ summary.fitted.values :'data.frame': 100563 obs. of 6 variables:
## ..$ mean : num [1:100563] 15.8 19.4 25.6 29 11.6 ...
## ..$ sd : num [1:100563] 3.8 6.4 6.31 6.72 5.82 ...
## ..$ 0.025quant: num [1:100563] 8.292 6.825 13.232 15.784 0.159 ...
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## ..$ mode : num [1:100563] 15.8 19.4 25.6 29 11.6 ...
## $ marginals.fitted.values : NULL
## $ size.linear.predictor :List of 5
## ..$ n : num 86029
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## ..$ Ntotal: num 100563
## ..$ ngroup: num 1
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## $ summary.hyperpar :'data.frame': 4 obs. of 6 variables:
## ..$ mean : num [1:4] 0.0124 4.6401 1.489 -3.4357
## ..$ sd : num [1:4] 0.000186 0.033959 0.07351 0.066848
## ..$ 0.025quant: num [1:4] 0.012 4.575 1.332 -3.58
## ..$ 0.5quant : num [1:4] 0.0124 4.6394 1.4929 -3.4314
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## ..$ mode : num [1:4] 0.0124 4.6366 1.5123 -3.4093
## $ marginals.hyperpar :List of 4
## ..$ Precision for the Gaussian observations: num [1:43, 1:2] 0.0116 0.0117 0.0118 0.0119 0.012 ...
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## ..$ Theta1 for field : num [1:43, 1:2] 4.5 4.52 4.54 4.56 4.58 ...
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## ..$ Theta2 for field : num [1:43, 1:2] 1.13 1.18 1.23 1.3 1.33 ...
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## $ internal.summary.hyperpar :'data.frame': 4 obs. of 6 variables:
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## ..$ sd : num [1:4] 0.0151 0.034 0.0735 0.0668
## ..$ 0.025quant: num [1:4] -4.42 4.58 1.33 -3.58
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## ..$ 0.975quant: num [1:4] -4.36 4.71 1.62 -3.32
## ..$ mode : num [1:4] -4.39 4.64 1.51 -3.41
## $ internal.marginals.hyperpar:List of 4
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## ..$ Theta1 for field : num [1:43, 1:2] 4.5 4.52 4.54 4.56 4.58 ...
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## ..$ Theta2 for field : num [1:43, 1:2] 1.13 1.18 1.23 1.3 1.33 ...
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## .. .. ..$ : chr [1:2] "x" "y"
## ..$ Theta3 for field : num [1:43, 1:2] -3.77 -3.72 -3.67 -3.61 -3.58 ...
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## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ offset.linear.predictor : num [1:100563] 0 0 0 0 0 0 0 0 0 0 ...
## $ model.spde2.blc : NULL
## $ summary.spde2.blc : list()
## $ marginals.spde2.blc : NULL
## $ size.spde2.blc : NULL
## $ model.spde3.blc : NULL
## $ summary.spde3.blc : list()
## $ marginals.spde3.blc : NULL
## $ size.spde3.blc : NULL
## $ logfile : chr [1:700] "[PANUA] PARDISO License is expired." "[PANUA] Please obtain a new PARDISO license at https://www.panua.ch/products/pardiso" " Read ntt 7 1 with max.threads 24" " Found num.threads = 7:1 max_threads = 7" ...
## $ misc :List of 22
## ..$ cov.intern : num [1:4, 1:4] 2.29e-04 1.34e-04 1.68e-04 -4.73e-05 1.34e-04 ...
## ..$ cor.intern : num [1:4, 1:4] 1 0.2453 0.1552 -0.0473 0.2453 ...
## ..$ cov.intern.eigenvalues : num [1:4] 0.00016 0.000301 0.005281 0.005281
## ..$ cov.intern.eigenvectors : num [1:4, 1:4] 0.7584 -0.5893 0.0863 -0.2649 -0.6505 ...
## ..$ reordering : int [1:86029] 25183 25192 26654 26667 26678 25635 25573 25608 32475 32474 ...
## ..$ theta.tags : chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## ..$ log.posterior.mode : num -55603
## ..$ stdev.corr.negative : num [1:4] 1.13 1.023 0.842 1.471
## ..$ stdev.corr.positive : num [1:4] 0.885 0.978 1.188 0.68
## ..$ to.theta :List of 4
## .. ..$ Log precision for the Gaussian observations:function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## .. ..$ Theta3 for field :function (x)
## ..$ from.theta :List of 4
## .. ..$ Log precision for the Gaussian observations:function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## .. ..$ Theta3 for field :function (x)
## ..$ mode.status : num 0
## ..$ lincomb.derived.correlation.matrix: NULL
## ..$ lincomb.derived.covariance.matrix : NULL
## ..$ opt.directions : num [1:4, 1:4] -0.225 0.339 0.855 -0.321 0.906 ...
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## .. .. ..$ : chr [1:4] "dir:1" "dir:2" "dir:3" "dir:4"
## ..$ configs :List of 17
## .. ..$ .preopt : logi TRUE
## .. ..$ lite : logi FALSE
## .. ..$ mpred : int 14534
## .. ..$ npred : int 86029
## .. ..$ mnpred : int 100563
## .. ..$ Npred : int 14534
## .. ..$ n : int 86029
## .. ..$ nz : int 631029
## .. ..$ prior_nz : int 542049
## .. ..$ ntheta : int 4
## .. ..$ nconfig : int 25
## .. ..$ offsets : num [1:100563] 0 0 0 0 0 0 0 0 0 0 ...
## .. ..$ contents :List of 3
## .. .. ..$ tag : chr [1:4] "APredictor" "Predictor" "field" "Intercept"
## .. .. ..$ start : int [1:4] 1 14535 100564 186592
## .. .. ..$ length: int [1:4] 14534 86029 86028 1
## .. ..$ A :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. ..@ i : int [1:86029] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. ..@ j : int [1:86029] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. ..$ : NULL
## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:86029] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ pA :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. ..@ i : int [1:101696] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ j : int [1:101696] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. ..@ Dim : int [1:2] 14534 86029
## .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. ..$ : NULL
## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:101696] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ config :List of 25
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.39 4.67 1.46 -3.5
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -4.2
## .. .. .. ..$ log.posterior.orig: num -0.201
## .. .. .. ..$ mean : num [1:86029] -1.21 -1.96 1.58 1.65 1.83 ...
## .. .. .. ..$ improved.mean : num [1:86029] -1.21 -1.96 1.58 1.65 1.83 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0809 -0.0288 0.1819 0.219 -0.0842 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 51.5 39.4 46.4 58.2 54.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.0675 -0.0367 0.1444 0.219 -0.0842 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1948 -0.0809 -0.0182 0.0398 -0.1433 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.7 19.4 25.6 29 11.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.76 -1.21 -1.96 1.58 1.65 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.37 4.65 1.47 -3.5
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.76
## .. .. .. ..$ log.posterior.orig: num -2.56
## .. .. .. ..$ mean : num [1:86029] -1.18 -1.95 1.61 1.68 1.86 ...
## .. .. .. ..$ improved.mean : num [1:86029] -1.18 -1.95 1.61 1.68 1.86 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0839 -0.0302 0.1886 0.228 -0.0876 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 49.7 38.1 44.8 56.1 52.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.0703 -0.0383 0.1504 0.228 -0.0876 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1988 -0.0835 -0.0188 0.0407 -0.147 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.8 19.5 25.6 29 11.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.76 -1.18 -1.95 1.61 1.68 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.42 4.69 1.46 -3.49
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -6.05
## .. .. .. ..$ log.posterior.orig: num -2.85
## .. .. .. ..$ mean : num [1:86029] -1.24 -1.98 1.55 1.62 1.8 ...
## .. .. .. ..$ improved.mean : num [1:86029] -1.24 -1.98 1.55 1.62 1.8 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0771 -0.0272 0.1738 0.208 -0.0799 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 53.9 41.2 48.5 61 57.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.0641 -0.0349 0.1372 0.208 -0.0799 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1898 -0.0778 -0.0174 0.0386 -0.1387 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.7 19.3 25.6 29 11.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.74 -1.24 -1.98 1.55 1.62 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.42 4.64 1.47 -3.51
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.96
## .. .. .. ..$ log.posterior.orig: num -2.77
## .. .. .. ..$ mean : num [1:86029] -1.12 -1.92 1.67 1.75 1.92 ...
## .. .. .. ..$ improved.mean : num [1:86029] -1.12 -1.92 1.67 1.75 1.92 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0856 -0.0318 0.192 0.2355 -0.0905 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 48.5 37.3 43.7 54.7 51.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.0726 -0.0395 0.1553 0.2355 -0.0905 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1921 -0.0833 -0.0188 0.0399 -0.1445 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.9 19.8 25.7 28.9 12 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.76 -1.12 -1.92 1.67 1.75 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.37 4.7 1.46 -3.48
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.74
## .. .. .. ..$ log.posterior.orig: num -2.54
## .. .. .. ..$ mean : num [1:86029] -1.3 -2.01 1.48 1.55 1.74 ...
## .. .. .. ..$ improved.mean : num [1:86029] -1.3 -2.01 1.48 1.55 1.74 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0765 -0.0261 0.1729 0.2038 -0.0783 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 54.7 41.8 49.2 62 58.2 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.0628 -0.0342 0.1344 0.2038 -0.0783 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1978 -0.0786 -0.0176 0.0396 -0.142 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.6 19.1 25.5 29.1 11.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.75 -1.3 -2.01 1.48 1.55 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.4 4.6 1.3 -3.43
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.84
## .. .. .. ..$ log.posterior.orig: num -2.64
## .. .. .. ..$ mean : num [1:86029] -1.624 -2.354 0.976 1.039 1.271 ...
## .. .. .. ..$ improved.mean : num [1:86029] -1.624 -2.354 0.976 1.039 1.271 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0733 -0.0248 0.1657 0.1948 -0.0748 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 50.1 36.8 44.4 58.2 54.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.06 -0.0327 0.1285 0.1948 -0.0748 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1982 -0.0746 -0.0163 0.0424 -0.1416 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 16.1 18.9 25.5 28.7 11.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.765 -1.624 -2.354 0.976 1.039 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.39 4.72 1.58 -3.55
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.68
## .. .. .. ..$ log.posterior.orig: num -2.49
## .. .. .. ..$ mean : num [1:86029] -0.949 -1.712 1.991 2.069 2.212 ...
## .. .. .. ..$ improved.mean : num [1:86029] -0.949 -1.712 1.991 2.069 2.212 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0868 -0.032 0.1948 0.2382 -0.0915 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 53.1 41.8 48.3 58.9 55.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.0734 -0.04 0.1571 0.2382 -0.0915 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.192 -0.0849 -0.0194 0.0374 -0.1437 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.4 19.7 25.7 29.2 11.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.739 -0.949 -1.712 1.991 2.069 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.39 4.64 1.51 -3.41
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -3.2
## .. .. .. ..$ log.posterior.orig: num 0
## .. .. .. ..$ mean : num [1:86029] -1.19 -1.95 1.59 1.66 1.84 ...
## .. .. .. ..$ improved.mean : num [1:86029] -1.19 -1.95 1.59 1.66 1.84 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0815 -0.0292 0.1833 0.221 -0.0849 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 51.8 39.8 46.7 58.3 54.9 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.0681 -0.0371 0.1458 0.221 -0.0849 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1948 -0.0812 -0.0182 0.0398 -0.1435 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.7 19.4 25.6 29 11.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.75 -1.19 -1.95 1.59 1.66 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.39 4.74 1.35 -3.69
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -3.92
## .. .. .. ..$ log.posterior.orig: num -0.721
## .. .. .. ..$ mean : num [1:86029] -1.24 -1.99 1.56 1.63 1.82 ...
## .. .. .. ..$ improved.mean : num [1:86029] -1.24 -1.99 1.56 1.63 1.82 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0799 -0.0283 0.1798 0.2158 -0.0829 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 50.8 38.6 45.6 57.7 54.1 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.0665 -0.0362 0.1423 0.2158 -0.0829 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1949 -0.0806 -0.018 0.0399 -0.1431 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.7 19.4 25.6 29 11.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.77 -1.24 -1.99 1.56 1.63 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.39 4.75 1.46 -3.61
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.4
## .. .. .. ..$ log.posterior.orig: num -2.2
## .. .. .. ..$ mean : num [1:86029] -1.14 -1.88 1.71 1.79 1.96 ...
## .. .. .. ..$ improved.mean : num [1:86029] -1.14 -1.88 1.71 1.79 1.96 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0792 -0.0279 0.1785 0.2136 -0.0821 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 54.5 42.2 49.3 61.4 57.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.0658 -0.0358 0.1408 0.2136 -0.0821 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1925 -0.0801 -0.0181 0.0381 -0.1407 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.5 19.3 25.6 29.1 11.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.75 -1.14 -1.88 1.71 1.79 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.39 4.7 1.54 -3.47
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.13
## .. .. .. ..$ log.posterior.orig: num -1.94
## .. .. .. ..$ mean : num [1:86029] -1.12 -1.86 1.73 1.8 1.97 ...
## .. .. .. ..$ improved.mean : num [1:86029] -1.12 -1.86 1.73 1.8 1.97 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0797 -0.0282 0.1796 0.2152 -0.0827 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 55.2 42.9 50 61.9 58.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.0663 -0.0361 0.1419 0.2152 -0.0827 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1923 -0.0803 -0.0181 0.038 -0.1406 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.5 19.3 25.6 29.1 11.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.73 -1.12 -1.86 1.73 1.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.39 4.69 1.32 -3.55
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.52
## .. .. .. ..$ log.posterior.orig: num -2.32
## .. .. .. ..$ mean : num [1:86029] -1.5 -2.21 1.21 1.27 1.49 ...
## .. .. .. ..$ improved.mean : num [1:86029] -1.5 -2.21 1.21 1.27 1.49 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0727 -0.0244 0.1644 0.1926 -0.074 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 53.1 39.6 47.3 61.2 57.2 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.0594 -0.0323 0.127 0.1926 -0.074 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1955 -0.075 -0.0166 0.0405 -0.1395 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.8 18.9 25.5 28.9 11.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.76 -1.5 -2.21 1.21 1.27 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.39 4.64 1.4 -3.41
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -4.9
## .. .. .. ..$ log.posterior.orig: num -1.7
## .. .. .. ..$ mean : num [1:86029] -1.47 -2.18 1.22 1.29 1.5 ...
## .. .. .. ..$ improved.mean : num [1:86029] -1.47 -2.18 1.22 1.29 1.5 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0734 -0.0248 0.1661 0.1951 -0.075 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 53.5 40.2 47.8 61.4 57.5 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.0601 -0.0327 0.1287 0.1951 -0.075 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1955 -0.0753 -0.0167 0.0405 -0.1398 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.8 19 25.5 28.9 11.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.75 -1.47 -2.18 1.22 1.29 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.41 4.72 1.47 -3.62
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.44
## .. .. .. ..$ log.posterior.orig: num -2.24
## .. .. .. ..$ mean : num [1:86029] -1.06 -1.83 1.81 1.89 2.05 ...
## .. .. .. ..$ improved.mean : num [1:86029] -1.06 -1.83 1.81 1.89 2.05 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0837 -0.0307 0.1878 0.2291 -0.088 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 51.5 39.8 46.5 57.7 54.4 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.0706 -0.0384 0.1511 0.2291 -0.088 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1897 -0.0824 -0.0187 0.0382 -0.1418 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.6 19.7 25.7 29 11.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.75 -1.06 -1.83 1.81 1.89 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.41 4.67 1.55 -3.48
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.11
## .. .. .. ..$ log.posterior.orig: num -1.91
## .. .. .. ..$ mean : num [1:86029] -1.04 -1.81 1.82 1.9 2.06 ...
## .. .. .. ..$ improved.mean : num [1:86029] -1.04 -1.81 1.82 1.9 2.06 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0845 -0.0311 0.1896 0.2318 -0.0891 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 52 40.5 47.1 58.1 54.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.0715 -0.0389 0.1529 0.2318 -0.0891 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1896 -0.0827 -0.0188 0.0382 -0.142 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.6 19.7 25.7 29 11.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.74 -1.04 -1.81 1.82 1.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.42 4.67 1.33 -3.56
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.45
## .. .. .. ..$ log.posterior.orig: num -2.26
## .. .. .. ..$ mean : num [1:86029] -1.39 -2.16 1.3 1.37 1.58 ...
## .. .. .. ..$ improved.mean : num [1:86029] -1.39 -2.16 1.3 1.37 1.58 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0767 -0.027 0.1727 0.2066 -0.0794 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 50.1 37.4 44.7 57.5 53.8 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.0637 -0.0347 0.1363 0.2066 -0.0794 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1927 -0.0772 -0.0171 0.0407 -0.1407 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 16 19.3 25.6 28.8 11.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.77 -1.39 -2.16 1.3 1.37 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.42 4.62 1.41 -3.42
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.06
## .. .. .. ..$ log.posterior.orig: num -1.86
## .. .. .. ..$ mean : num [1:86029] -1.36 -2.13 1.31 1.38 1.59 ...
## .. .. .. ..$ improved.mean : num [1:86029] -1.36 -2.13 1.31 1.38 1.59 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0778 -0.0276 0.1751 0.2102 -0.0808 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 50.4 37.9 45 57.6 53.9 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.0648 -0.0353 0.1386 0.2102 -0.0808 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1928 -0.0777 -0.0172 0.0407 -0.1411 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 16 19.3 25.6 28.8 11.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.75 -1.36 -2.13 1.31 1.38 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.37 4.73 1.46 -3.62
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.5
## .. .. .. ..$ log.posterior.orig: num -2.3
## .. .. .. ..$ mean : num [1:86029] -1.12 -1.87 1.74 1.82 1.98 ...
## .. .. .. ..$ improved.mean : num [1:86029] -1.12 -1.87 1.74 1.82 1.98 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0823 -0.0292 0.1853 0.2226 -0.0856 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 52.5 40.6 47.5 59 55.6 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.0686 -0.0374 0.1468 0.2226 -0.0856 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1969 -0.0828 -0.0187 0.0391 -0.1446 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.5 19.4 25.6 29.1 11.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.76 -1.12 -1.87 1.74 1.82 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.37 4.68 1.54 -3.47
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.16
## .. .. .. ..$ log.posterior.orig: num -1.96
## .. .. .. ..$ mean : num [1:86029] -1.1 -1.85 1.76 1.83 1.99 ...
## .. .. .. ..$ improved.mean : num [1:86029] -1.1 -1.85 1.76 1.83 1.99 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0831 -0.0297 0.1871 0.2253 -0.0866 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 53.1 41.3 48.1 59.4 56 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.0695 -0.0378 0.1486 0.2253 -0.0866 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1969 -0.0831 -0.0188 0.039 -0.1448 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.5 19.4 25.6 29.1 11.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.75 -1.1 -1.85 1.76 1.83 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.37 4.68 1.32 -3.56
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.46
## .. .. .. ..$ log.posterior.orig: num -2.26
## .. .. .. ..$ mean : num [1:86029] -1.47 -2.19 1.24 1.3 1.51 ...
## .. .. .. ..$ improved.mean : num [1:86029] -1.47 -2.19 1.24 1.3 1.51 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0758 -0.0258 0.1712 0.2017 -0.0775 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 51 38.1 45.5 58.7 54.9 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.0622 -0.0338 0.133 0.2017 -0.0775 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2001 -0.0777 -0.0172 0.0416 -0.1437 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.9 19 25.5 28.9 11.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.77 -1.47 -2.19 1.24 1.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.37 4.63 1.4 -3.41
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.05
## .. .. .. ..$ log.posterior.orig: num -1.86
## .. .. .. ..$ mean : num [1:86029] -1.44 -2.16 1.25 1.32 1.53 ...
## .. .. .. ..$ improved.mean : num [1:86029] -1.44 -2.16 1.25 1.32 1.53 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0766 -0.0262 0.1729 0.2043 -0.0785 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 51.4 38.7 46 58.9 55.1 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.063 -0.0343 0.1347 0.2043 -0.0785 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2001 -0.078 -0.0173 0.0416 -0.1439 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.9 19.1 25.5 28.9 11.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.76 -1.44 -2.16 1.25 1.32 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.39 4.71 1.47 -3.63
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.5
## .. .. .. ..$ log.posterior.orig: num -2.3
## .. .. .. ..$ mean : num [1:86029] -1.04 -1.82 1.84 1.92 2.08 ...
## .. .. .. ..$ improved.mean : num [1:86029] -1.04 -1.82 1.84 1.92 2.08 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0873 -0.0323 0.1957 0.2399 -0.0922 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 49.4 38.3 44.7 55.4 52.2 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.0739 -0.0403 0.1582 0.2399 -0.0922 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1941 -0.0853 -0.0194 0.0392 -0.146 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.7 19.8 25.7 29 11.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.76 -1.04 -1.82 1.84 1.92 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.39 4.66 1.55 -3.49
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.31
## .. .. .. ..$ log.posterior.orig: num -2.11
## .. .. .. ..$ mean : num [1:86029] -1.02 -1.8 1.85 1.93 2.09 ...
## .. .. .. ..$ improved.mean : num [1:86029] -1.02 -1.8 1.85 1.93 2.09 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0882 -0.0328 0.1976 0.2427 -0.0933 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 50 38.9 45.3 55.8 52.6 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.0748 -0.0407 0.1601 0.2427 -0.0933 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1941 -0.0856 -0.0195 0.0392 -0.1462 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.7 19.8 25.7 29 11.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.75 -1.02 -1.8 1.85 1.93 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.4 4.65 1.33 -3.57
## .. .. .. .. ..- attr(*, "names")= chr [1:4] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field"
## .. .. .. ..$ log.posterior : num -5.35
## .. .. .. ..$ log.posterior.orig: num -2.15
## .. .. .. ..$ mean : num [1:86029] -1.36 -2.14 1.33 1.4 1.6 ...
## .. .. .. ..$ improved.mean : num [1:86029] -1.36 -2.14 1.33 1.4 1.6 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0799 -0.0284 0.1799 0.2163 -0.0831 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 48.1 36 42.9 55.2 51.6 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.0667 -0.0363 0.1427 0.2163 -0.0831 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1972 -0.0799 -0.0177 0.0418 -0.1448 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 16 19.4 25.6 28.8 11.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.77 -1.36 -2.14 1.33 1.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:4] -4.4 4.6 1.41 -3.43
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## ..$ mode.status : num 0
## ..$ log.posterior.mode: num -55603
## $ joint.hyper :'data.frame': 25 obs. of 6 variables:
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## ..$ Theta3 for field : num [1:25] -3.41 -3.41 -3.4 -3.42 -3.39 ...
## ..$ Log posterior density : num [1:25] -55616 -55619 -55619 -55619 -55619 ...
## ..$ Total integration weight (log.dens included): num [1:25] 0.0849 0.0179 0.0134 0.0146 0.0183 ...
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## $ .args :List of 30
## ..$ formula :Class 'formula' language BRU.response ~ f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_v| __truncated__ ...
## ..$ family : chr "gaussian"
## ..$ data :List of 16
## .. ..$ BRU.response : num [1:14534] 0 12.9 24.1 32.2 0 ...
## .. ..$ BRU.E : num [1:14534] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.Ntrials : num [1:14534] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.weights : num [1:14534] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.scale : num [1:14534] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.offset : num [1:14534] 0 0 0 0 0 0 0 0 0 0 ...
## .. ..$ Intercept : num [1:86029] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ Intercept.group : int [1:86029] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ Intercept.repl : int [1:86029] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ field : int [1:86029] NA 1 2 3 4 5 6 7 8 9 ...
## .. ..$ field.group : int [1:86029] NA 1 1 1 1 1 1 1 1 1 ...
## .. ..$ field.repl : int [1:86029] NA 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU_Intercept_main_model: chr "linear"
## .. ..$ BRU_Intercept_values : num 1
## .. ..$ BRU_field_main_model :List of 20
## .. .. ..$ f :List of 3
## .. .. .. ..$ model : chr "cgeneric"
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## .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
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## .. .. .. .. ..$ debug: logi FALSE
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## .. .. .. .. .. .. ..$ rspde.order: int 2
## .. .. .. .. .. ..$ doubles :List of 11
## .. .. .. .. .. .. ..$ d : num 1
## .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. ..$ matrices_less : num [1:94764] 0.0797 0 0 0 0 ...
## .. .. .. .. .. .. ..$ matrices_full : num [1:207848] 0.0797 0 0 0 0 ...
## .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. .. .. .. ..$ prior.nu.logscale : num 1
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## .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. ..$ matrices :List of 2
## .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
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## .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. ..$ debug : logi FALSE
## .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
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## .. .. .. ..$ output.name : chr "beta[7] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[7] for lp_scale"
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## .. .. .. ..$ short.name : chr "b8"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[8] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[8] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ short.name : chr "b9"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[9] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[9] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b10"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[10] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[10] for lp_scale"
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## .. .. .. ..$ short.name : chr "b11"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[11] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[11] for lp_scale"
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## .. .. ..$ theta12 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b12"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[12] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[12] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta13 :List of 11
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## .. .. .. ..$ name : chr "beta13"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b13"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[13] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[13] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta14 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta14"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b14"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[14] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[14] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta15 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[15] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[15] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta16 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[16] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[16] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta17 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[17] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[17] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta18 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta18"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b18"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[18] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[18] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta19 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta19"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b19"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[19] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[19] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta20 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta20"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b20"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[20] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[20] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta21 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[21] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[21] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta22 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[22] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[22] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta23 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[23] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta24 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[24] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[24] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta25 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta26 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[26] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
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## .. .. ..$ theta27 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[27] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[27] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta28 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[28] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[28] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta29 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta30 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta31 :List of 11
## .. .. .. ..$ hyperid : num 103031
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta32 :List of 11
## .. .. .. ..$ hyperid : num 103032
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta33 :List of 11
## .. .. .. ..$ hyperid : num 103033
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta34 :List of 11
## .. .. .. ..$ hyperid : num 103034
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta35 :List of 11
## .. .. .. ..$ hyperid : num 103035
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta36 :List of 11
## .. .. .. ..$ hyperid : num 103036
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta37 :List of 11
## .. .. .. ..$ hyperid : num 103037
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta38 :List of 11
## .. .. .. ..$ hyperid : num 103038
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta39 :List of 11
## .. .. .. ..$ hyperid : num 103039
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta40 :List of 11
## .. .. .. ..$ hyperid : num 103040
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta41 :List of 11
## .. .. .. ..$ hyperid : num 103041
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta42 :List of 11
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## .. .. .. ..$ name : chr "beta42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[42] for lp_scale"
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta43 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[43] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[43] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta44 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta44"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b44"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[44] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[44] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta45 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta45"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b45"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[45] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[45] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta46 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta46"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b46"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[46] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[46] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta47 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta47"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b47"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[47] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[47] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta48 :List of 11
## .. .. .. ..$ hyperid : num 103048
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta48"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b48"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[48] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[48] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta49 :List of 11
## .. .. .. ..$ hyperid : num 103049
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta49"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b49"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[49] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[49] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta50 :List of 11
## .. .. .. ..$ hyperid : num 103050
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta50"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b50"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[50] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[50] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta51 :List of 11
## .. .. .. ..$ hyperid : num 103051
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta51"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b51"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[51] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[51] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta52 :List of 11
## .. .. .. ..$ hyperid : num 103052
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta52"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b52"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[52] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[52] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta53 :List of 11
## .. .. .. ..$ hyperid : num 103053
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta53"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b53"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[53] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[53] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta54 :List of 11
## .. .. .. ..$ hyperid : num 103054
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta54"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b54"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[54] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[54] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta55 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta55"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b55"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[55] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[55] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta56 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta56"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b56"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[56] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[56] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta57 :List of 11
## .. .. .. ..$ hyperid : num 103057
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta57"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b57"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[57] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[57] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta58 :List of 11
## .. .. .. ..$ hyperid : num 103058
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta58"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b58"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[58] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[58] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta59 :List of 11
## .. .. .. ..$ hyperid : num 103059
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta59"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b59"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[59] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[59] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b60"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[60] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[60] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta61"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b61"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[61] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[61] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta62"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b62"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[62] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[62] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta63 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta63"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b63"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[63] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[63] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta64 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta64"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b64"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[64] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[64] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta65 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta65"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b65"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[65] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[65] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta66 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta66"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b66"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[66] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[66] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta67 :List of 11
## .. .. .. ..$ hyperid : num 103067
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta67"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b67"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[67] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[67] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta68 :List of 11
## .. .. .. ..$ hyperid : num 103068
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta68"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b68"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[68] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[68] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta69 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta69"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b69"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[69] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[69] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta70 :List of 11
## .. .. .. ..$ hyperid : num 103070
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[70] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[70] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta71 :List of 11
## .. .. .. ..$ hyperid : num 103071
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta71"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b71"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[71] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[71] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta72 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta73 :List of 11
## .. .. .. ..$ hyperid : num 103073
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta73"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b73"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[73] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[73] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta74 :List of 11
## .. .. .. ..$ hyperid : num 103074
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta74"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b74"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[74] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[74] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta75 :List of 11
## .. .. .. ..$ hyperid : num 103075
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta75"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b75"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[75] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[75] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta76 :List of 11
## .. .. .. ..$ hyperid : num 103076
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta76"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b76"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[76] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[76] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta77 :List of 11
## .. .. .. ..$ hyperid : num 103077
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta77"
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## .. .. .. ..$ output.name : chr "beta[77] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[77] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[78] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[78] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[79] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[80] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta81 :List of 11
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## .. .. .. ..$ name : chr "beta81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[81] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[81] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta82 :List of 11
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## .. .. .. ..$ name : chr "beta82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b82"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[82] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[82] for lp_scale"
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta83 :List of 11
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## .. .. .. ..$ name : chr "beta83"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b83"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[83] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[83] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta84 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta84"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b84"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[84] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[84] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta85 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta85"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b85"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[85] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[85] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta86 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta86"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b86"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[86] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[86] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta87 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta87"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b87"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[87] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[87] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta88 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta88"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b88"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[88] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[88] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta89 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta89"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b89"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[89] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[89] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta90 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta90"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b90"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[90] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[90] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta91 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta91"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b91"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[91] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[91] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta92 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta92"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b92"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[92] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[92] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta93 :List of 11
## .. .. .. ..$ hyperid : num 103093
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta93"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b93"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[93] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[93] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta94 :List of 11
## .. .. .. ..$ hyperid : num 103094
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta94"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b94"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[94] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[94] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
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## .. .. .. .. .. .. .. .. .. ..$ matrices :List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. ..$ cgeneric_type : chr "general"
## .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. ..$ loglocation: num -0.288
## .. .. .. .. .. .. .. ..$ mean : num 0.75
## .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. ..$ integer.nu : logi FALSE
## .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. ..$ est_nu : logi TRUE
## .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. ..$ fem_mesh :List of 5
## .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:147901] 0 1 230 983 984 985 986 989 1700 1701 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 28 52 89 122 151 171 209 249 274 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:147901] 1.41e+12 -1.06e+12 -2.25e+11 1.91e+11 -1.41e+12 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. ..$ model :List of 20
## .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:135512] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:135512] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. ..$ rspde.order: int 2
## .. .. .. .. .. .. .. .. ..$ doubles :List of 11
## .. .. .. .. .. .. .. .. .. ..$ d : num 1
## .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. .. .. .. ..$ matrices_less : num [1:94764] 0.0797 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ matrices_full : num [1:207848] 0.0797 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. ..$ characters:List of 5
## .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. ..$ matrices :List of 2
## .. .. .. .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. ..$ cgeneric_type : chr "general"
## .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. ..$ loglocation: num -0.288
## .. .. .. .. .. .. ..$ mean : num 0.75
## .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. ..$ integer.nu : logi FALSE
## .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. ..$ est_nu : logi TRUE
## .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. ..$ fem_mesh :List of 5
## .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:147901] 0 1 230 983 984 985 986 989 1700 1701 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 28 52 89 122 151 171 209 249 274 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:147901] 1.41e+12 -1.06e+12 -2.25e+11 1.91e+11 -1.41e+12 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. ..$ type : chr "cgeneric"
## .. .. .. .. ..$ n : num 21507
## .. .. .. .. ..$ values : int [1:21507] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "field.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : language data_rspde_bru_stat[["repl"]]
## .. .. .. .. .. ..$ label : chr "field.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 4
## .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : int 4
## .. .. .. .. ..$ values : int [1:4] 1 2 3 4
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x59ebaed77028>
## .. .. .. ..$ fcall : language "f"(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main :List of 1
## .. .. .. .. .. .. .. .. ..$ model:List of 20
## .. .. .. .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ ints :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:135512] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:135512] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ rspde.order: int 2
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ doubles :List of 11
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ d : num 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices_less : num [1:94764] 0.0797 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices_full : num [1:207848] 0.0797 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ characters:List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_stat_general_model"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices :List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:6] 2 2 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ smatrices : list()
## .. .. .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. .. .. .. ..$ cgeneric_type : chr "general"
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. .. ..$ mean : num 0.75
## .. .. .. .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec : num [1:2, 1:2] 0.1 0 0 0.1
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. ..$ integer.nu : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:2] 0 0.223
## .. .. .. .. .. .. .. .. .. ..$ stationary : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. .. .. .. ..$ est_nu : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. .. .. .. ..$ fem_mesh :List of 5
## .. .. .. .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:147901] 0 1 230 983 984 985 986 989 1700 1701 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 28 52 89 122 151 171 209 249 274 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:147901] 1.41e+12 -1.06e+12 -2.25e+11 1.91e+11 -1.41e+12 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ group :List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 4
## .. .. .. .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 21507
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 21507
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:21507] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:21507] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 86028
## .. .. .. .. .. .. ..$ n_inla : num 86028
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 86028 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 86028
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..- attr(*, "class")= chr [1:2] "component_list" "list"
## .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..$ formula:Class 'formula' language BRU_response ~ f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_v| __truncated__ ...
## .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..- attr(*, "class")= chr [1:2] "bru_model" "list"
## ..$ lhoods :List of 1
## .. ..$ :List of 17
## .. .. ..$ family : chr "gaussian"
## .. .. ..$ formula :Class 'formula' language speed ~ .
## .. .. .. .. ..- attr(*, ".Environment")=<environment: 0x59ebb92c6fc0>
## .. .. ..$ response_data :List of 4
## .. .. .. ..$ BRU_response: num [1:14534] 0 12.9 24.1 32.2 0 ...
## .. .. .. ..$ BRU_E : num 1
## .. .. .. ..$ BRU_Ntrials : num 1
## .. .. .. ..$ BRU_scale : num 1
## .. .. ..$ data :List of 8
## .. .. .. ..$ speed : num [1:14534] 0 12.9 24.1 32.2 0 ...
## .. .. .. ..$ SpeedLimit : num [1:14534] -0.101 -0.617 -0.617 -0.617 -0.927 ...
## .. .. .. ..$ .coord_x : num [1:14534] -122 -122 -122 -122 -122 ...
## .. .. .. ..$ .coord_y : num [1:14534] 37.8 37.8 37.8 37.8 37.8 ...
## .. .. .. ..$ .edge_number : num [1:14534] 1 4 6 6 9 14 14 14 18 20 ...
## .. .. .. ..$ .distance_on_edge: num [1:14534] 0.437 0.144 0.252 0.658 0.601 ...
## .. .. .. ..$ .group : chr [1:14534] "1" "1" "1" "1" ...
## .. .. .. ..$ loc : num [1:14534, 1:2] 1 4 6 6 9 14 14 14 18 20 ...
## .. .. .. ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## .. .. ..$ E : num 1
## .. .. ..$ Ntrials : num 1
## .. .. ..$ weights : num 1
## .. .. ..$ scale : num 1
## .. .. ..$ samplers : NULL
## .. .. ..$ linear : logi TRUE
## .. .. ..$ expr : NULL
## .. .. ..$ response : chr "BRU_response"
## .. .. ..$ inla.family : chr "gaussian"
## .. .. ..$ domain : NULL
## .. .. ..$ used :List of 2
## .. .. .. ..$ effect: chr [1:2] "Intercept" "field"
## .. .. .. ..$ latent: chr(0)
## .. .. .. ..- attr(*, "class")= chr "bru_used"
## .. .. ..$ allow_combine : logi TRUE
## .. .. ..$ control.family: NULL
## .. .. ..- attr(*, "class")= chr [1:2] "bru_like" "list"
## .. ..- attr(*, "class")= chr [1:2] "bru_like_list" "list"
## ..$ options :List of 14
## .. ..$ bru_verbose : num 0
## .. ..$ bru_verbose_store: num Inf
## .. ..$ bru_max_iter : num 1
## .. ..$ bru_run : logi TRUE
## .. ..$ bru_int_args :List of 3
## .. .. ..$ method: chr "stable"
## .. .. ..$ nsub1 : num 30
## .. .. ..$ nsub2 : num 9
## .. ..$ bru_method :List of 6
## .. .. ..$ taylor : chr "pandemic"
## .. .. ..$ search : chr "all"
## .. .. ..$ factor : num 1.62
## .. .. ..$ rel_tol : num 0.1
## .. .. ..$ max_step : num 2
## .. .. ..$ line_opt_method: chr "onestep"
## .. ..$ bru_compress_cp : logi TRUE
## .. ..$ bru_debug : logi FALSE
## .. ..$ E : num 1
## .. ..$ Ntrials : num 1
## .. ..$ control.compute :List of 3
## .. .. ..$ config: logi TRUE
## .. .. ..$ dic : logi TRUE
## .. .. ..$ waic : logi TRUE
## .. ..$ control.inla :List of 1
## .. .. ..$ int.strategy: chr "auto"
## .. ..$ control.fixed :List of 1
## .. .. ..$ expand.factor.strategy: chr "inla"
## .. ..$ verbose : logi FALSE
## .. ..- attr(*, "class")= chr [1:2] "bru_options" "list"
## ..$ inlabru_version: Named chr "2.10.1.9004"
## .. ..- attr(*, "names")= chr "version"
## ..$ INLA_version : Named chr "24.04.22"
## .. ..- attr(*, "names")= chr "version"
## ..- attr(*, "class")= chr [1:2] "bru_info" "list"
## - attr(*, "class")= chr [1:3] "bru" "iinla" "inla"stat.time.fin <- Sys.time()
print(stat.time.fin - stat.time.ini)## Time difference of 2.338521 minssummary(rspde_fit_stat)## inlabru version: 2.10.1.9004
## INLA version: 24.04.22
## Components:
## Intercept: main = linear(1), group = exchangeable(1L), replicate = iid(1L)
## field: main = cgeneric(loc), group = exchangeable(1L), replicate = iid(data_rspde_bru_stat[["repl"]])
## Likelihoods:
## Family: 'gaussian'
## Data class: 'metric_graph_data', 'list'
## Predictor: speed ~ .
## Time used:
## Pre = 0.399, Running = 58.1, Post = 6.96, Total = 65.5
## Fixed effects:
## mean sd 0.025quant 0.5quant 0.975quant mode kld
## Intercept 21.755 4.054 13.796 21.755 29.711 21.755 0
##
## Random effects:
## Name Model
## field CGeneric
##
## Model hyperparameters:
## mean sd 0.025quant 0.5quant
## Precision for the Gaussian observations 0.012 0.000 0.012 0.012
## Theta1 for field 4.640 0.034 4.575 4.639
## Theta2 for field 1.489 0.074 1.332 1.493
## Theta3 for field -3.436 0.067 -3.580 -3.431
## 0.975quant mode
## Precision for the Gaussian observations 0.013 0.012
## Theta1 for field 4.709 4.637
## Theta2 for field 1.620 1.512
## Theta3 for field -3.320 -3.409
##
## Deviance Information Criterion (DIC) ...............: 108284.14
## Deviance Information Criterion (DIC, saturated) ....: 17726.62
## Effective number of parameters .....................: 3186.67
##
## Watanabe-Akaike information criterion (WAIC) ...: 108454.36
## Effective number of parameters .................: 2795.72
##
## Marginal log-Likelihood: -55612.77
## is computed
## Posterior summaries for the linear predictor and the fitted values are computed
## (Posterior marginals needs also 'control.compute=list(return.marginals.predictor=TRUE)')fit.rspde = rspde.result(rspde_fit_stat, "field", rspde_model_stat)
summary(fit.rspde)## mean sd 0.025quant 0.5quant 0.975quant mode
## std.dev 103.6080000 3.50486000 97.0955000 103.4640000 110.8510000 103.0820000
## range 4.4449000 0.32135400 3.7963400 4.4564100 5.0493100 4.5140900
## nu 0.0468985 0.00298471 0.0407161 0.0470518 0.0523261 0.04781061.2 Nonstationary model
- Observe that we are using the computed parameters from the stationary model as initial values for the nonstationary models.
nonstat.time.ini <- Sys.time()
################################################################################
############################# NON STATIONARY MODEL #############################
################################################################################
B.sigma = cbind(0, 1, 0, mesh$SpeedLimit, 0)
B.range = cbind(0, 0, 1, 0, mesh$SpeedLimit)
init.vec.theta = c(fit.rspde$summary.log.std.dev$mode,
fit.rspde$summary.log.range$mode,
rep(0, (ncol(B.sigma)-3)))
rspde_model_nonstat <- rspde.metric_graph(sf_graph,
start.theta = init.vec.theta,
theta.prior.mean = init.vec.theta,
B.sigma = B.sigma,
B.range = B.range,
parameterization = "matern",
nu.upper.bound = 1.5)str(rspde_model_nonstat)
## List of 20
## $ f :List of 3
## ..$ model : chr "cgeneric"
## ..$ n : int 21507
## ..$ cgeneric:List of 5
## .. ..$ model: chr "inla_cgeneric_rspde_nonstat_general_model"
## .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. ..$ n : int 21507
## .. ..$ debug: logi FALSE
## .. ..$ data :List of 5
## .. .. ..$ ints :List of 6
## .. .. .. ..$ n : int 21507
## .. .. .. ..$ debug : int 0
## .. .. .. ..$ graph_opt_i: int [1:135512] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. ..$ graph_opt_j: int [1:135512] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. ..$ rspde_order: int 2
## .. .. .. ..$ matern_par : int 1
## .. .. ..$ doubles :List of 9
## .. .. .. ..$ d : num 1
## .. .. .. ..$ nu_upper_bound : num 1.5
## .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. ..$ start.nu : num 0.75
## .. .. .. ..$ start.theta : num [1:4] 4.64 1.51 0 0
## .. .. .. ..$ theta.prior.mean : num [1:4] 4.64 1.51 0 0
## .. .. ..$ characters:List of 4
## .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. ..$ matrices :List of 4
## .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. ..$ B_tau : num [1:35847] 7169 5 -1.15 -1 0.75 ...
## .. .. .. ..$ B_kappa : num [1:35847] 7169 5 0.896 0 -1 ...
## .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. ..$ smatrices :List of 2
## .. .. .. ..$ C: num [1:21510] 7169 7169 7169 0 1 ...
## .. .. .. ..$ G: num [1:74640] 7169 7169 24879 0 1 ...
## .. ..- attr(*, "class")= chr "inla.cgeneric"
## $ cgeneric_type : chr "general"
## $ theta.prior.mean : num [1:4] 4.64 1.51 0 0
## $ prior.nu :List of 4
## ..$ loglocation: num -0.288
## ..$ mean : num 0.75
## ..$ prec : num 3
## ..$ logscale : num 1
## $ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## $ start.nu : num 0.75
## $ integer.nu : logi FALSE
## $ start.theta : num [1:4] 4.64 1.51 0 0
## $ stationary : logi FALSE
## $ rspde.order : num 2
## $ dim : num 1
## $ est_nu : logi TRUE
## $ nu.upper.bound : num 1.5
## $ prior.nu.dist : chr "lognormal"
## $ debug : logi FALSE
## $ type.rational.approx: chr "chebfun"
## $ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## $ fem_mesh :List of 5
## ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. ..@ factors : list()
## ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. ..@ factors : list()
## ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. ..@ factors : list()
## ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. ..@ factors : list()
## ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. ..@ i : int [1:147901] 0 1 230 983 984 985 986 989 1700 1701 ...
## .. .. ..@ p : int [1:7170] 0 28 52 89 122 151 171 209 249 274 ...
## .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. ..@ Dimnames:List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : NULL
## .. .. ..@ x : num [1:147901] 1.41e+12 -1.06e+12 -2.25e+11 1.91e+11 -1.41e+12 ...
## .. .. ..@ factors : list()
## $ parameterization : chr "matern"
## $ n.spde : int 7169
## - attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"data_rspde_bru_nonstat <- graph_data_rspde(rspde_model_nonstat,
repl = ".all",
loc_name = "loc")str(data_rspde_bru_nonstat)
## List of 4
## $ data :List of 8
## ..$ speed : num [1:14534] 0 12.9 24.1 32.2 0 ...
## ..$ SpeedLimit : num [1:14534] -0.101 -0.617 -0.617 -0.617 -0.927 ...
## ..$ .coord_x : num [1:14534] -122 -122 -122 -122 -122 ...
## ..$ .coord_y : num [1:14534] 37.8 37.8 37.8 37.8 37.8 ...
## ..$ .edge_number : num [1:14534] 1 4 6 6 9 14 14 14 18 20 ...
## ..$ .distance_on_edge: num [1:14534] 0.437 0.144 0.252 0.658 0.601 ...
## ..$ .group : chr [1:14534] "1" "1" "1" "1" ...
## ..$ loc : num [1:14534, 1:2] 1 4 6 6 9 14 14 14 18 20 ...
## ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## $ index:List of 3
## ..$ field : int [1:28676] 1 2 3 4 5 6 7 8 9 10 ...
## ..$ field.group: int [1:28676] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ field.repl : int [1:28676] 1 1 1 1 1 1 1 1 1 1 ...
## ..- attr(*, "class")= chr [1:2] "inla_rspde_index" "list"
## ..- attr(*, "rspde.order")= num 0
## ..- attr(*, "integer_nu")= logi TRUE
## ..- attr(*, "n.mesh")= int 7169
## ..- attr(*, "name")= chr "field"
## ..- attr(*, "n.group")= int 1
## ..- attr(*, "n.repl")= int 4
## $ repl : chr [1:14534] "1" "1" "1" "1" ...
## $ basis:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. ..@ i : int [1:87204] 0 555 1905 1906 0 1050 1471 1472 1473 1905 ...
## .. ..@ p : int [1:86029] 0 4 11 11 11 11 12 13 15 15 ...
## .. ..@ Dim : int [1:2] 14534 86028
## .. ..@ Dimnames:List of 2
## .. .. ..$ : NULL
## .. .. ..$ : NULL
## .. ..@ x : num [1:87204] 0.563 0.0495 0.3595 0.7935 0.437 ...
## .. ..@ factors : list()cmp_nonstat = speed ~ -1 +
Intercept(1) +
field(loc, model = rspde_model_nonstat,
replicate = data_rspde_bru_nonstat[["repl"]])
rspde_fit_nonstat <-
bru(cmp_nonstat,
data = data_rspde_bru_nonstat[["data"]],
family = "gaussian",
options = list(verbose = FALSE)
)str(rspde_fit_nonstat)
## List of 56
## $ names.fixed : chr "Intercept"
## $ summary.fixed :'data.frame': 1 obs. of 7 variables:
## ..$ mean : num 20.6
## ..$ sd : num 0.865
## ..$ 0.025quant: num 18.9
## ..$ 0.5quant : num 20.6
## ..$ 0.975quant: num 22.3
## ..$ mode : num 20.6
## ..$ kld : num 0
## $ marginals.fixed :List of 1
## ..$ Intercept: num [1:43, 1:2] 16.9 17.4 17.9 18.6 18.9 ...
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ summary.lincomb :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb : NULL
## $ size.lincomb : NULL
## $ summary.lincomb.derived :'data.frame': 0 obs. of 0 variables
## $ marginals.lincomb.derived : NULL
## $ size.lincomb.derived : NULL
## $ mlik : num [1:2, 1] -55671 -55665
## ..- attr(*, "dimnames")=List of 2
## .. ..$ : chr [1:2] "log marginal-likelihood (integration)" "log marginal-likelihood (Gaussian)"
## .. ..$ : NULL
## $ cpo :List of 3
## ..$ cpo : logi(0)
## ..$ pit : logi(0)
## ..$ failure: logi(0)
## $ gcpo :List of 5
## ..$ gcpo : NULL
## ..$ kld : NULL
## ..$ mean : NULL
## ..$ sd : NULL
## ..$ groups: NULL
## $ po :List of 1
## ..$ po: num [1:14534] 0.0105 0.0312 0.0356 0.033 0.0206 ...
## $ waic :List of 4
## ..$ waic : num 108528
## ..$ p.eff : num 2658
## ..$ local.waic : num [1:14534] 10.18 7.56 6.9 7.31 9.26 ...
## ..$ local.p.eff: num [1:14534] 0.538 0.313 0.118 0.244 0.748 ...
## $ residuals :List of 1
## ..$ deviance.residuals: num [1:14534] -1.815 -0.938 -0.696 0.848 -1.423 ...
## $ model.random : chr "CGeneric"
## $ summary.random :List of 1
## ..$ field:'data.frame': 86028 obs. of 8 variables:
## .. ..$ ID : num [1:86028] 1 2 3 4 5 6 7 8 9 10 ...
## .. ..$ mean : num [1:86028] 0.013 0.013 0.0309 0.0319 0.0307 ...
## .. ..$ sd : num [1:86028] 0.434 0.417 0.333 0.336 0.331 ...
## .. ..$ 0.025quant: num [1:86028] -0.838 -0.804 -0.621 -0.627 -0.617 ...
## .. ..$ 0.5quant : num [1:86028] 0.013 0.013 0.0309 0.0319 0.0307 ...
## .. ..$ 0.975quant: num [1:86028] 0.864 0.831 0.683 0.691 0.679 ...
## .. ..$ mode : num [1:86028] 0.013 0.013 0.0309 0.0319 0.0307 ...
## .. ..$ kld : num [1:86028] 0 0 0 0 0 0 0 0 0 0 ...
## $ marginals.random :List of 1
## ..$ field:List of 86028
## .. ..$ index.1 : num [1:43, 1:2] -1.839 -1.602 -1.329 -0.997 -0.838 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
## .. .. .. ..$ : chr [1:2] "x" "y"
## .. ..$ index.2 : num [1:43, 1:2] -1.766 -1.538 -1.276 -0.957 -0.804 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : NULL
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## .. ..$ N : num 21507
## .. ..$ Ntotal: num 86028
## .. ..$ ngroup: num 1
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## $ summary.linear.predictor :'data.frame': 100563 obs. of 7 variables:
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## ..$ sd : num [1:100563] 3.35 6.48 6.18 6.64 5.91 ...
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## $ marginals.linear.predictor : NULL
## $ summary.fitted.values :'data.frame': 100563 obs. of 6 variables:
## ..$ mean : num [1:100563] 18 17.1 24.8 27.7 11.4 ...
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## $ marginals.fitted.values : NULL
## $ size.linear.predictor :List of 5
## ..$ n : num 86029
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## $ summary.hyperpar :'data.frame': 6 obs. of 6 variables:
## ..$ mean : num [1:6] 0.0119 4.0225 1.8059 -0.3197 -0.7952 ...
## ..$ sd : num [1:6] 0.000175 0.150714 0.197728 0.056342 0.053082 ...
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## ..$ mode : num [1:6] 0.0119 3.9304 1.7823 -0.291 -0.7958 ...
## $ marginals.hyperpar :List of 6
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## .. ..- attr(*, "hyperid")= chr ""
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## .. .. ..$ : chr [1:2] "x" "y"
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## .. ..- attr(*, "hyperid")= chr ""
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## .. ..- attr(*, "hyperid")= chr ""
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## .. .. ..$ : chr [1:2] "x" "y"
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## .. ..- attr(*, "hyperid")= chr ""
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## .. ..- attr(*, "hyperid")= chr ""
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## ..$ sd : num [1:6] 0.0148 0.1504 0.1977 0.0562 0.0531 ...
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## ..$ mode : num [1:6] -4.435 3.933 1.784 -0.292 -0.796 ...
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## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
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## .. ..- attr(*, "hyperid")= chr ""
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## .. .. ..$ : chr [1:2] "x" "y"
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## .. ..- attr(*, "hyperid")= chr ""
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : NULL
## .. .. ..$ : chr [1:2] "x" "y"
## $ offset.linear.predictor : num [1:100563] 0 0 0 0 0 0 0 0 0 0 ...
## $ model.spde2.blc : NULL
## $ summary.spde2.blc : list()
## $ marginals.spde2.blc : NULL
## $ size.spde2.blc : NULL
## $ model.spde3.blc : NULL
## $ summary.spde3.blc : list()
## $ marginals.spde3.blc : NULL
## $ size.spde3.blc : NULL
## $ logfile : chr [1:767] "[PANUA] PARDISO License is expired." "[PANUA] Please obtain a new PARDISO license at https://www.panua.ch/products/pardiso" " Read ntt 7 1 with max.threads 24" " Found num.threads = 7:1 max_threads = 7" ...
## $ misc :List of 22
## ..$ cov.intern : num [1:6, 1:6] 2.19e-04 8.68e-05 -1.23e-04 -2.61e-05 -2.29e-06 ...
## ..$ cor.intern : num [1:6, 1:6] 1 0.04467 -0.04014 -0.03322 -0.00287 ...
## ..$ cov.intern.eigenvalues : num [1:6] 0.000148 0.000169 0.000314 0.001414 0.051957 ...
## ..$ cov.intern.eigenvectors : num [1:6, 1:6] 0.681 -0.468 0.228 0.347 -0.158 ...
## ..$ reordering : int [1:86029] 84758 84768 85761 79302 85760 79632 79631 85759 79334 79347 ...
## ..$ theta.tags : chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## ..$ log.posterior.mode : num -55652
## ..$ stdev.corr.negative : num [1:6] 0.952 1.007 1.003 1.032 1.059 ...
## ..$ stdev.corr.positive : num [1:6] 1.051 0.993 0.997 0.969 0.944 ...
## ..$ to.theta :List of 6
## .. ..$ Log precision for the Gaussian observations:function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## .. ..$ Theta3 for field :function (x)
## .. ..$ Theta4 for field :function (x)
## .. ..$ Theta5 for field :function (x)
## ..$ from.theta :List of 6
## .. ..$ Log precision for the Gaussian observations:function (x)
## .. ..$ Theta1 for field :function (x)
## .. ..$ Theta2 for field :function (x)
## .. ..$ Theta3 for field :function (x)
## .. ..$ Theta4 for field :function (x)
## .. ..$ Theta5 for field :function (x)
## ..$ mode.status : num 0
## ..$ lincomb.derived.correlation.matrix: NULL
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## .. .. ..$ : chr [1:6] "dir:1" "dir:2" "dir:3" "dir:4" ...
## ..$ configs :List of 17
## .. ..$ .preopt : logi TRUE
## .. ..$ lite : logi FALSE
## .. ..$ mpred : int 14534
## .. ..$ npred : int 86029
## .. ..$ mnpred : int 100563
## .. ..$ Npred : int 14534
## .. ..$ n : int 86029
## .. ..$ nz : int 631029
## .. ..$ prior_nz : int 542049
## .. ..$ ntheta : int 6
## .. ..$ nconfig : int 45
## .. ..$ offsets : num [1:100563] 0 0 0 0 0 0 0 0 0 0 ...
## .. ..$ contents :List of 3
## .. .. ..$ tag : chr [1:4] "APredictor" "Predictor" "field" "Intercept"
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## .. .. ..$ length: int [1:4] 14534 86029 86028 1
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## .. .. .. ..@ Dim : int [1:2] 86029 86029
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## .. .. .. ..@ x : num [1:86029] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ pA :Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. ..@ i : int [1:101696] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. ..@ j : int [1:101696] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. ..@ Dim : int [1:2] 14534 86029
## .. .. .. ..@ Dimnames:List of 2
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## .. .. .. .. ..$ : NULL
## .. .. .. ..@ x : num [1:101696] 1 1 1 1 1 1 1 1 1 1 ...
## .. .. .. ..@ factors : list()
## .. ..$ config :List of 45
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.435 4.141 1.953 -0.368 -0.819 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -59.8
## .. .. .. ..$ log.posterior.orig: num -54.6
## .. .. .. ..$ mean : num [1:86029] 0.013 0.013 0.0309 0.0319 0.0307 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.013 0.013 0.0309 0.0319 0.0307 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. ..@ x : num [1:631029] 6177 -5343 18213 56228 -31563 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
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## .. .. .. .. .. ..@ x : num [1:631029] 0.189 0.18 0.174 0.111 0.112 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
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## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 6177 -5343 18213 56228 -31563 ...
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## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18 17.1 24.8 27.7 11.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
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## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -62.5
## .. .. .. ..$ log.posterior.orig: num -58.7
## .. .. .. ..$ mean : num [1:86029] 0.0189 0.0188 0.0434 0.0447 0.043 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0189 0.0188 0.0434 0.0447 0.043 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
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## .. .. .. .. .. ..@ x : num [1:631029] 4560 -3973 13645 42125 -23646 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
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## .. .. .. .. .. ..@ x : num [1:631029] 0.25 0.237 0.227 0.144 0.145 ...
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## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
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## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -61.8
## .. .. .. ..$ log.posterior.orig: num -58
## .. .. .. ..$ mean : num [1:86029] 0.0068 0.00686 0.01659 0.0171 0.01645 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0068 0.00686 0.01659 0.0171 0.01645 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
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## .. .. .. .. .. ..@ x : num [1:631029] 11126 -9559 32368 99929 -56094 ...
## .. .. .. .. .. ..@ factors : list()
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## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
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## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
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## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.20839 -0.04828 -0.00809 0.05149 -0.13115 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.9 17 24.8 27.8 11.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.65025 0.0068 0.00686 0.01659 0.0171 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.447 4.149 1.95 -0.34 -0.832 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -61.6
## .. .. .. ..$ log.posterior.orig: num -57.8
## .. .. .. ..$ mean : num [1:86029] 0.014 0.0138 0.0309 0.0319 0.0307 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.014 0.0138 0.0309 0.0319 0.0307 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 5739 -5037 17426 53799 -30200 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.188 0.177 0.168 0.106 0.107 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 5739 -5037 17426 53799 -30200 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21166 -0.04934 -0.00718 0.05311 -0.13471 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18.1 17.1 24.8 27.7 11.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.3574 0.014 0.0138 0.0309 0.0319 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.422 4.134 1.956 -0.397 -0.806 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -62.1
## .. .. .. ..$ log.posterior.orig: num -58.3
## .. .. .. ..$ mean : num [1:86029] 0.0123 0.0125 0.0307 0.0316 0.0305 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0123 0.0125 0.0307 0.0316 0.0305 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 6748 -5750 19312 59620 -33467 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.188 0.182 0.178 0.115 0.116 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 6748 -5750 19312 59620 -33467 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21614 -0.05096 -0.00874 0.0537 -0.13683 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18 17.1 24.9 27.7 11.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.721 0.0123 0.0125 0.0307 0.0316 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.404 4.172 1.939 -0.363 -0.82 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -61.5
## .. .. .. ..$ log.posterior.orig: num -57.7
## .. .. .. ..$ mean : num [1:86029] 0.00509 0.00509 0.01197 0.01235 0.01188 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.00509 0.00509 0.01197 0.01235 0.01188 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 14399 -12461 42507 131231 -73665 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0791 0.0756 0.0729 0.0464 0.0468 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 14399 -12461 42507 131231 -73665 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21733 -0.04826 -0.00829 0.05246 -0.13396 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.8 16.8 24.8 27.9 11 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.56034 0.00509 0.00509 0.01197 0.01235 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.465 4.111 1.967 -0.374 -0.818 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -62.3
## .. .. .. ..$ log.posterior.orig: num -58.5
## .. .. .. ..$ mean : num [1:86029] 0.0206 0.0206 0.0493 0.0509 0.0489 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0206 0.0206 0.0493 0.0509 0.0489 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 4283 -3702 12611 38935 -21856 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.278 0.266 0.257 0.163 0.165 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 4283 -3702 12611 38935 -21856 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21032 -0.05207 -0.00767 0.05414 -0.13721 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18.3 17.4 24.8 27.5 11.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.589 0.0206 0.0206 0.0493 0.0509 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.432 4.134 1.936 -0.409 -0.907 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -62.1
## .. .. .. ..$ log.posterior.orig: num -58.3
## .. .. .. ..$ mean : num [1:86029] 0.00599 0.00599 0.0139 0.01444 0.01375 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.00599 0.00599 0.0139 0.01444 0.01375 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 9540 -8263 28210 87092 -48889 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.0766 0.0733 0.0713 0.0428 0.0435 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 9540 -8263 28210 87092 -48889 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21407 -0.04814 -0.00664 0.05401 -0.13566 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18 16.9 24.7 27.6 11.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.38908 0.00599 0.00599 0.0139 0.01444 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.437 4.149 1.972 -0.326 -0.726 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -61.7
## .. .. .. ..$ log.posterior.orig: num -57.9
## .. .. .. ..$ mean : num [1:86029] 0.0307 0.0307 0.0721 0.0737 0.0716 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0307 0.0307 0.0721 0.0737 0.0716 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 3983 -3439 11706 36139 -20286 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.526 0.504 0.487 0.349 0.35 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 3983 -3439 11706 36139 -20286 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21365 -0.0519 -0.00914 0.05276 -0.13589 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18.1 17.3 24.9 27.7 11.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.7232 0.0307 0.0307 0.0721 0.0737 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.436 4.17 2.41 -0.333 -0.92 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -410
## .. .. .. ..$ log.posterior.orig: num -406
## .. .. .. ..$ mean : num [1:86029] 0.152 -0.0794 1.1282 1.1709 1.1432 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.152 -0.0794 1.1282 1.1709 1.1432 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.217 -0.105 0.485 0.681 -0.262 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 18.5 13.9 16.5 15.2 14.2 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.204 -0.113 0.449 0.681 -0.262 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.157 -0.059 -0.0102 0.0215 -0.1013 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 13.26 17.86 25 30.37 8.56 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.5078 0.152 -0.0794 1.1282 1.1709 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.433 4.11 1.441 -0.408 -0.706 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -59.4
## .. .. .. ..$ log.posterior.orig: num -55.6
## .. .. .. ..$ mean : num [1:86029] 0.443 0.444 1.268 1.313 1.259 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.443 0.444 1.268 1.313 1.259 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 83.1 -71.8 244.6 754.9 -423.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 6.78 6.55 6.44 4.92 4.98 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 83.1 -71.8 244.5 754.9 -423.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21409 -0.04952 -0.00772 0.05352 -0.13575 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18 17 24.8 27.7 11.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.541 0.443 0.444 1.268 1.313 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.434 4.703 2.397 -0.573 -0.879 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -64.2
## .. .. .. ..$ log.posterior.orig: num -60.4
## .. .. .. ..$ mean : num [1:86029] 0.145 0.143 0.307 0.317 0.305 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.145 0.143 0.307 0.317 0.305 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 598 -524 1806 5577 -3130 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 2.14 2.01 1.92 1.15 1.16 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 598 -524 1806 5577 -3130 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21185 -0.04783 -0.00795 0.05139 -0.1313 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.8 16.9 24.8 27.9 11.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.337 0.145 0.143 0.307 0.317 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.435 3.922 1.78 -0.289 -0.796 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -3.79
## .. .. .. ..$ log.posterior.orig: num 0
## .. .. .. ..$ mean : num [1:86029] -0.00917 -0.20608 0.65395 0.675 0.72794 ...
## .. .. .. ..$ improved.mean : num [1:86029] -0.00917 -0.20608 0.65395 0.675 0.72794 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.231 -0.114 0.523 0.739 -0.284 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 16.5 12.3 14.6 13.6 12.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.218 -0.121 0.487 0.739 -0.284 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1925 -0.0676 -0.0112 0.0454 -0.1384 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 16.2 18.6 25.1 28.4 11.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.84102 -0.00917 -0.20608 0.65395 0.675 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.452 4.057 2.081 -0.322 -0.805 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -23.9
## .. .. .. ..$ log.posterior.orig: num -20.1
## .. .. .. ..$ mean : num [1:86029] 0.0314 -0.1534 0.7329 0.7528 0.7911 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0314 -0.1534 0.7329 0.7528 0.7911 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.244 -0.12 0.54 0.766 -0.294 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 17.2 13.2 15.5 14.5 13.5 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.231 -0.127 0.505 0.766 -0.294 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1792 -0.0701 -0.0132 0.0379 -0.13 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.4 18.9 25.3 28.9 11.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.1291 0.0314 -0.1534 0.7329 0.7528 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.452 4.376 2.333 -0.438 -0.839 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -60.9
## .. .. .. ..$ log.posterior.orig: num -57.1
## .. .. .. ..$ mean : num [1:86029] 0.0502 0.0507 0.1153 0.1184 0.1146 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0502 0.0507 0.1153 0.1184 0.1146 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 2405 -2060 6953 21468 -12051 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.787 0.759 0.736 0.468 0.471 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 2405 -2060 6953 21468 -12051 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21117 -0.05192 -0.00899 0.05283 -0.13532 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18.1 17.3 24.9 27.7 11.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.7481 0.0502 0.0507 0.1153 0.1184 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.449 4.027 1.67 -0.387 -0.791 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -61
## .. .. .. ..$ log.posterior.orig: num -57.2
## .. .. .. ..$ mean : num [1:86029] 0.0556 0.0563 0.145 0.1501 0.1436 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0556 0.0563 0.145 0.1501 0.1436 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 982 -843 2853 8806 -4943 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.791 0.765 0.75 0.5 0.506 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 982 -843 2853 8806 -4943 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21101 -0.04881 -0.00735 0.05323 -0.13442 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18 17.1 24.8 27.6 11.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.5928 0.0556 0.0563 0.145 0.1501 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.448 4.345 1.922 -0.503 -0.825 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -60.1
## .. .. .. ..$ log.posterior.orig: num -56.3
## .. .. .. ..$ mean : num [1:86029] 0.191 0.193 0.474 0.491 0.47 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.191 0.193 0.474 0.491 0.47 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 312 -269 912 2815 -1580 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 2.71 2.61 2.54 1.63 1.65 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 312 -269 912 2815 -1580 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21051 -0.04856 -0.00759 0.0526 -0.13319 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18 17 24.8 27.7 11.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.513 0.191 0.193 0.474 0.491 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.426 4.058 1.674 -0.349 -0.718 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -61.2
## .. .. .. ..$ log.posterior.orig: num -57.4
## .. .. .. ..$ mean : num [1:86029] 0.0771 0.0782 0.2102 0.2164 0.2087 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0771 0.0782 0.2102 0.2164 0.2087 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 816 -700 2365 7301 -4098 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 1.369 1.323 1.293 0.934 0.94 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 816 -700 2365 7301 -4098 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21362 -0.04889 -0.00871 0.05196 -0.13306 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.9 17 24.9 27.8 11.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.7736 0.0771 0.0782 0.2102 0.2164 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.425 4.376 1.926 -0.465 -0.752 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -61.1
## .. .. .. ..$ log.posterior.orig: num -57.3
## .. .. .. ..$ mean : num [1:86029] 0.313 0.317 0.809 0.833 0.803 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.313 0.317 0.809 0.833 0.803 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 234 -201 678 2094 -1176 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 5.28 5.1 4.98 3.46 3.48 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 234 -201 678 2094 -1176 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21398 -0.04976 -0.00906 0.05209 -0.13356 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.9 17 24.9 27.8 11.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.698 0.313 0.317 0.809 0.833 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.426 4.075 2.055 -0.352 -0.879 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -63.9
## .. .. .. ..$ log.posterior.orig: num -60.1
## .. .. .. ..$ mean : num [1:86029] 0.1039 -0.0847 0.7925 0.8135 0.8446 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.1039 -0.0847 0.7925 0.8135 0.8446 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.222 -0.107 0.493 0.692 -0.266 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 17.3 13 15.6 14.3 13.3 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.209 -0.115 0.456 0.692 -0.266 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.176 -0.066 -0.0112 0.0352 -0.124 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 14.7 18.4 25.1 29.2 10.4 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.9788 0.1039 -0.0847 0.7925 0.8135 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.425 4.394 2.307 -0.468 -0.913 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -60.1
## .. .. .. ..$ log.posterior.orig: num -56.3
## .. .. .. ..$ mean : num [1:86029] 0.0253 0.0255 0.058 0.0599 0.0575 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0253 0.0255 0.058 0.0599 0.0575 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 3117 -2677 9059 27970 -15701 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.378 0.362 0.351 0.204 0.206 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 3117 -2677 9059 27970 -15701 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21398 -0.04869 -0.00824 0.05249 -0.13348 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.9 16.9 24.8 27.8 11.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.5363 0.0253 0.0255 0.058 0.0599 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.461 4.039 1.682 -0.33 -0.728 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -61.3
## .. .. .. ..$ log.posterior.orig: num -57.5
## .. .. .. ..$ mean : num [1:86029] 0.0912 0.0912 0.2343 0.2413 0.2326 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0912 0.0912 0.2343 0.2413 0.2326 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 758 -657 2247 6936 -3893 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 1.414 1.351 1.305 0.93 0.937 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 758 -657 2247 6936 -3893 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.20903 -0.04986 -0.00787 0.05241 -0.13362 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18.1 17.2 24.8 27.6 11.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.6078 0.0912 0.0912 0.2343 0.2413 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.461 4.358 1.934 -0.446 -0.762 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -61.1
## .. .. .. ..$ log.posterior.orig: num -57.3
## .. .. .. ..$ mean : num [1:86029] 0.312 0.312 0.762 0.785 0.756 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.312 0.312 0.762 0.785 0.756 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 256 -222 758 2340 -1314 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 4.63 4.42 4.26 2.92 2.94 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 256 -222 758 2340 -1314 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.20932 -0.05062 -0.00819 0.05247 -0.13398 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18.1 17.3 24.8 27.6 11.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.529 0.312 0.312 0.762 0.785 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.461 4.057 2.063 -0.333 -0.89 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -61
## .. .. .. ..$ log.posterior.orig: num -57.2
## .. .. .. ..$ mean : num [1:86029] 0.1187 -0.0644 0.7258 0.7464 0.7734 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.1187 -0.0644 0.7258 0.7464 0.7734 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.247 -0.123 0.558 0.793 -0.305 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 15.5 11.5 13.7 12.4 11.5 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.235 -0.13 0.523 0.793 -0.305 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1724 -0.0667 -0.0108 0.0363 -0.125 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 14.9 18.6 25.1 29 10.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.9385 0.1187 -0.0644 0.7258 0.7464 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.46 4.376 2.315 -0.449 -0.924 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -60.2
## .. .. .. ..$ log.posterior.orig: num -56.4
## .. .. .. ..$ mean : num [1:86029] 0.0261 0.0259 0.0575 0.0595 0.057 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0261 0.0259 0.0575 0.0595 0.057 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 3175 -2759 9453 29185 -16383 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.354 0.335 0.322 0.185 0.187 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 3175 -2759 9453 29185 -16383 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.20926 -0.04945 -0.00734 0.05288 -0.13379 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18.1 17.2 24.8 27.6 11.6 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.4199 0.0261 0.0259 0.0575 0.0595 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.438 4.088 2.067 -0.295 -0.817 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -38.8
## .. .. .. ..$ log.posterior.orig: num -35
## .. .. .. ..$ mean : num [1:86029] 0.0432 -0.1391 0.7344 0.7548 0.7904 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0432 -0.1391 0.7344 0.7548 0.7904 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.223 -0.109 0.506 0.713 -0.274 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 18.5 13.9 16.3 15.1 14.1 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.21 -0.117 0.47 0.713 -0.274 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1787 -0.0675 -0.0121 0.0369 -0.1271 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.1 18.6 25.2 29.1 10.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.0821 0.0432 -0.1391 0.7344 0.7548 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.437 4.407 2.319 -0.411 -0.851 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -60.7
## .. .. .. ..$ log.posterior.orig: num -56.9
## .. .. .. ..$ mean : num [1:86029] 0.0459 0.0456 0.0993 0.102 0.0987 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0459 0.0456 0.0993 0.102 0.0987 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 2421 -2100 7178 22161 -12440 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.711 0.676 0.648 0.405 0.407 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 2421 -2100 7178 22161 -12440 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21224 -0.04974 -0.00857 0.05199 -0.13323 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.9 17.1 24.9 27.8 11.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.5446 0.0459 0.0456 0.0993 0.102 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.435 4.058 1.656 -0.359 -0.803 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -60.8
## .. .. .. ..$ log.posterior.orig: num -57
## .. .. .. ..$ mean : num [1:86029] 0.0459 0.0458 0.1126 0.1166 0.1116 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0459 0.0458 0.1126 0.1166 0.1116 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 1086 -945 3237 9992 -5609 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.664 0.635 0.616 0.407 0.413 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 1086 -945 3237 9992 -5609 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21186 -0.04651 -0.00703 0.0521 -0.13191 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.9 16.8 24.7 27.8 11.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.4743 0.0459 0.0458 0.1126 0.1166 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.434 4.376 1.908 -0.476 -0.837 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -62.8
## .. .. .. ..$ log.posterior.orig: num -59
## .. .. .. ..$ mean : num [1:86029] 0.183 0.181 0.424 0.44 0.421 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.183 0.181 0.424 0.44 0.421 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 300 -262 902 2784 -1563 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 2.61 2.48 2.39 1.52 1.54 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 300 -262 902 2784 -1563 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21147 -0.04636 -0.00723 0.05156 -0.13087 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.8 16.8 24.7 27.8 11 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.373 0.183 0.181 0.424 0.44 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.433 4.02 1.691 -0.344 -0.722 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -60.6
## .. .. .. ..$ log.posterior.orig: num -56.8
## .. .. .. ..$ mean : num [1:86029] 0.101 0.102 0.271 0.279 0.269 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.101 0.102 0.271 0.279 0.269 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 716 -617 2096 6469 -3631 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 1.57 1.51 1.47 1.05 1.06 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 716 -617 2096 6469 -3631 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21565 -0.05233 -0.00843 0.05435 -0.13865 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18.1 17.3 24.8 27.6 11.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.712 0.101 0.102 0.271 0.279 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.432 4.339 1.943 -0.46 -0.756 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -60.6
## .. .. .. ..$ log.posterior.orig: num -56.8
## .. .. .. ..$ mean : num [1:86029] 0.319 0.321 0.808 0.832 0.802 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.319 0.321 0.808 0.832 0.802 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 262 -226 768 2371 -1331 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 4.74 4.55 4.41 3.05 3.07 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 262 -226 768 2371 -1331 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.2158 -0.05296 -0.00877 0.05429 -0.13874 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18.1 17.3 24.9 27.6 11.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.636 0.319 0.321 0.808 0.832 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.432 4.038 2.072 -0.347 -0.883 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -33.8
## .. .. .. ..$ log.posterior.orig: num -30
## .. .. .. ..$ mean : num [1:86029] 0.1084 -0.0712 0.7206 0.7405 0.7692 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.1084 -0.0712 0.7206 0.7405 0.7692 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.263 -0.13 0.586 0.835 -0.321 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 14.7 11 13.2 11.9 11.1 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.25 -0.138 0.55 0.835 -0.321 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1784 -0.0695 -0.0116 0.0378 -0.1298 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15 18.7 25.1 29 10.9 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.9467 0.1084 -0.0712 0.7206 0.7405 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.432 4.357 2.324 -0.463 -0.917 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -60.5
## .. .. .. ..$ log.posterior.orig: num -56.7
## .. .. .. ..$ mean : num [1:86029] 0.0283 0.0283 0.0639 0.0661 0.0634 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0283 0.0283 0.0639 0.0661 0.0634 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 3137 -2710 9224 28479 -15986 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.374 0.357 0.344 0.199 0.202 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 3137 -2710 9224 28479 -15986 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21585 -0.05182 -0.00784 0.05483 -0.13875 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18.1 17.2 24.8 27.6 11.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.4915 0.0283 0.0283 0.0639 0.0661 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.409 4.069 2.075 -0.308 -0.81 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -16.8
## .. .. .. ..$ log.posterior.orig: num -13.1
## .. .. .. ..$ mean : num [1:86029] 0.0282 -0.1511 0.7236 0.7434 0.7808 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0282 -0.1511 0.7236 0.7434 0.7808 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.237 -0.116 0.531 0.749 -0.288 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 17.6 13.4 15.7 14.6 13.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.223 -0.124 0.494 0.749 -0.288 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.1849 -0.0703 -0.013 0.0383 -0.1319 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.2 18.6 25.2 29 10.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.1172 0.0282 -0.1511 0.7236 0.7434 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.409 4.388 2.327 -0.425 -0.844 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -60.9
## .. .. .. ..$ log.posterior.orig: num -57.1
## .. .. .. ..$ mean : num [1:86029] 0.0487 0.0488 0.1087 0.1116 0.1079 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0487 0.0488 0.1087 0.1116 0.1079 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 2412 -2078 7060 21797 -12235 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.754 0.722 0.696 0.44 0.442 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 2412 -2078 7060 21797 -12235 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21877 -0.05193 -0.00912 0.05379 -0.13791 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18 17.1 24.9 27.8 11.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.6599 0.0487 0.0488 0.1087 0.1116 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.406 4.039 1.665 -0.373 -0.796 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -60.9
## .. .. .. ..$ log.posterior.orig: num -57.1
## .. .. .. ..$ mean : num [1:86029] 0.0529 0.0532 0.1339 0.1387 0.1327 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0529 0.0532 0.1339 0.1387 0.1327 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 1003 -867 2951 9111 -5114 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.751 0.722 0.704 0.467 0.474 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 1003 -867 2951 9111 -5114 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21858 -0.04881 -0.00751 0.05409 -0.13693 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.9 16.9 24.8 27.8 11.2 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.543 0.0529 0.0532 0.1339 0.1387 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.405 4.357 1.917 -0.489 -0.83 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -60.6
## .. .. .. ..$ log.posterior.orig: num -56.8
## .. .. .. ..$ mean : num [1:86029] 0.188 0.188 0.452 0.468 0.448 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.188 0.188 0.452 0.468 0.448 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 308 -267 913 2818 -1582 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 2.66 2.54 2.46 1.58 1.6 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 308 -267 913 2818 -1582 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21802 -0.04849 -0.00774 0.0534 -0.13556 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 17.9 16.8 24.8 27.8 11.1 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.451 0.188 0.188 0.452 0.468 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.444 4.051 2.084 -0.289 -0.82 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -19.8
## .. .. .. ..$ log.posterior.orig: num -16
## .. .. .. ..$ mean : num [1:86029] 0.0613 -0.1171 0.682 0.7018 0.7344 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0613 -0.1171 0.682 0.7018 0.7344 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.26 -0.131 0.595 0.849 -0.326 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 15.9 11.9 13.8 12.8 12 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.248 -0.139 0.56 0.849 -0.326 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.181 -0.0707 -0.0125 0.0391 -0.1322 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 15.4 18.9 25.2 28.9 11.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 21.0187 0.0613 -0.1171 0.682 0.7018 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.444 4.37 2.336 -0.406 -0.854 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -61.1
## .. .. .. ..$ log.posterior.orig: num -57.3
## .. .. .. ..$ mean : num [1:86029] 0.0509 0.0503 0.1077 0.1107 0.107 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0509 0.0503 0.1077 0.1107 0.107 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 2479 -2162 7432 22945 -12880 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.692 0.655 0.624 0.389 0.391 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 2479 -2162 7432 22945 -12880 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21392 -0.05273 -0.00824 0.05412 -0.13815 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18.2 17.4 24.8 27.6 11.8 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.4578 0.0509 0.0503 0.1077 0.1107 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.441 4.02 1.674 -0.354 -0.806 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -61
## .. .. .. ..$ log.posterior.orig: num -57.2
## .. .. .. ..$ mean : num [1:86029] 0.0599 0.0594 0.1444 0.1496 0.1431 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0599 0.0594 0.1444 0.1496 0.1431 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 951 -831 2863 8838 -4961 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.761 0.723 0.698 0.46 0.466 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 951 -831 2863 8838 -4961 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21382 -0.04962 -0.00655 0.05461 -0.13738 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18.1 17.1 24.7 27.6 11.7 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.4194 0.0599 0.0594 0.1444 0.1496 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.44 4.34 1.93 -0.47 -0.84 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -61
## .. .. .. ..$ log.posterior.orig: num -57.2
## .. .. .. ..$ mean : num [1:86029] 0.185 0.183 0.422 0.438 0.419 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.185 0.183 0.422 0.438 0.419 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 336 -295 1019 3147 -1766 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 2.34 2.21 2.12 1.35 1.37 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 335 -295 1019 3147 -1766 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21324 -0.0492 -0.00676 0.05388 -0.13595 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18.1 17 24.7 27.6 11.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.312 0.185 0.183 0.422 0.438 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.418 4.051 1.677 -0.316 -0.733 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -61.3
## .. .. .. ..$ log.posterior.orig: num -57.5
## .. .. .. ..$ mean : num [1:86029] 0.0891 0.0885 0.2187 0.2252 0.2172 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0891 0.0885 0.2187 0.2252 0.2172 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 773 -674 2321 7163 -4021 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 1.341 1.273 1.222 0.866 0.873 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 773 -674 2320 7163 -4021 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21654 -0.04983 -0.00799 0.05332 -0.13613 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18 17 24.8 27.8 11.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.4861 0.0891 0.0885 0.2187 0.2252 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.418 4.37 1.929 -0.432 -0.767 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -61.4
## .. .. .. ..$ log.posterior.orig: num -57.6
## .. .. .. ..$ mean : num [1:86029] 0.314 0.311 0.732 0.754 0.727 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.314 0.311 0.732 0.754 0.727 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 252 -220 759 2342 -1315 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 4.53 4.29 4.11 2.8 2.82 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 252 -220 759 2342 -1315 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21681 -0.05054 -0.00829 0.05337 -0.13645 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18 17.1 24.8 27.8 11.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.403 0.314 0.311 0.732 0.754 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.418 4.069 2.058 -0.319 -0.895 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -55.2
## .. .. .. ..$ log.posterior.orig: num -51.4
## .. .. .. ..$ mean : num [1:86029] 0.1168 -0.0637 0.7151 0.7356 0.7614 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.1168 -0.0637 0.7151 0.7356 0.7614 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.24 -0.119 0.548 0.776 -0.298 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 15.9 11.7 13.9 12.6 11.7 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 0.227 -0.127 0.512 0.776 -0.298 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.178 -0.0667 -0.0105 0.0366 -0.1265 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 14.8 18.4 25 29.2 10.5 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.9325 0.1168 -0.0637 0.7151 0.7356 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. ..$ :List of 15
## .. .. .. ..$ theta : Named num [1:6] -4.417 4.388 2.31 -0.435 -0.929 ...
## .. .. .. .. ..- attr(*, "names")= chr [1:6] "Log precision for the Gaussian observations" "Theta1 for field" "Theta2 for field" "Theta3 for field" ...
## .. .. .. ..$ log.posterior : num -60.1
## .. .. .. ..$ log.posterior.orig: num -56.3
## .. .. .. ..$ mean : num [1:86029] 0.0254 0.025 0.0543 0.0561 0.0538 ...
## .. .. .. ..$ improved.mean : num [1:86029] 0.0254 0.025 0.0543 0.0561 0.0538 ...
## .. .. .. ..$ skewness : logi [1:86029] NA NA NA NA NA NA ...
## .. .. .. ..$ Q :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 3184 -2785 9600 29639 -16638 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qinv :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:631029] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:631029] 0.342 0.322 0.307 0.176 0.178 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ Qprior :Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. ..@ i : int [1:542049] 0 0 1 2 2 3 2 3 4 5 ...
## .. .. .. .. .. ..@ p : int [1:86030] 0 1 3 4 6 9 10 14 16 17 ...
## .. .. .. .. .. ..@ Dim : int [1:2] 86029 86029
## .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..@ x : num [1:542049] 3184 -2785 9600 29639 -16638 ...
## .. .. .. .. .. ..@ factors : list()
## .. .. .. ..$ cpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "skewness"
## .. .. .. ..$ gcpodens.moments : num[0 , 1:3]
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "mean" "variance" "log.theta.correction"
## .. .. .. ..$ arg.str : NULL
## .. .. .. ..$ ll.info : num [1:14534, 1:3] -0.21679 -0.04947 -0.00749 0.05377 -0.13633 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:3] "gradient" "hessian" "deriv3"
## .. .. .. ..$ APredictor : num [1:14534, 1:2] 18 17 24.8 27.7 11.3 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. .. .. ..$ Predictor : num [1:86029, 1:2] 20.3395 0.0254 0.025 0.0543 0.0561 ...
## .. .. .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. ..$ : chr [1:2] "mean" "variance"
## .. ..$ max.log.posterior: num -55597
## ..$ nfunc : num 532
## ..$ warnings : chr(0)
## ..$ opt.trace :List of 3
## .. ..$ f : Named num [1:73] 15487640 5789883 5788863 5788713 61506 ...
## .. .. ..- attr(*, "names")= chr [1:73] "iter1" "iter2" "iter3" "iter4" ...
## .. ..$ nfunc: Named int [1:73] 1 8 11 12 16 17 18 24 26 29 ...
## .. .. ..- attr(*, "names")= chr [1:73] "iter1" "iter2" "iter3" "iter4" ...
## .. ..$ theta: num [1:73, 1:6] 4 3 3 3 -5.99 ...
## .. .. ..- attr(*, "dimnames")=List of 2
## .. .. .. ..$ : chr [1:73] "iter1" "iter2" "iter3" "iter4" ...
## .. .. .. ..$ : chr [1:6] "theta1" "theta2" "theta3" "theta4" ...
## ..$ theta.mode : num [1:6] -4.435 3.922 1.78 -0.289 -0.796 ...
## ..$ linkfunctions :List of 2
## .. ..$ names: chr "identity"
## .. ..$ link : int [1:14534] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ family : int [1:14534] 1 1 1 1 1 1 1 1 1 1 ...
## $ dic :List of 14
## ..$ dic : num 107824
## ..$ p.eff : num 2479
## ..$ mean.deviance : num 105345
## ..$ deviance.mean : num 102865
## ..$ dic.sat : num 16648
## ..$ mean.deviance.sat: num 14168
## ..$ deviance.mean.sat: num 11689
## ..$ family.dic : num 107824
## ..$ family.dic.sat : num 16648
## ..$ family.p.eff : num 2479
## ..$ family : num [1:14534] 1 1 1 1 1 1 1 1 1 1 ...
## ..$ local.dic : num [1:14534] 9 7.82 7.24 7.47 8.77 ...
## ..$ local.dic.sat : num [1:14534] 2.731 1.547 0.965 1.197 2.499 ...
## ..$ local.p.eff : num [1:14534] -0.562 0.667 0.48 0.479 0.473 ...
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## .. ..$ BRU.E : num [1:14534] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.Ntrials : num [1:14534] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.weights : num [1:14534] 1 1 1 1 1 1 1 1 1 1 ...
## .. ..$ BRU.scale : num [1:14534] 1 1 1 1 1 1 1 1 1 1 ...
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## .. ..$ Intercept : num [1:86029] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ Intercept.group : int [1:86029] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ Intercept.repl : int [1:86029] 1 NA NA NA NA NA NA NA NA NA ...
## .. ..$ field : int [1:86029] NA 1 2 3 4 5 6 7 8 9 ...
## .. ..$ field.group : int [1:86029] NA 1 1 1 1 1 1 1 1 1 ...
## .. ..$ field.repl : int [1:86029] NA 1 1 1 1 1 1 1 1 1 ...
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## .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
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## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ output.name : chr "beta[11] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[11] for lp_scale"
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## .. .. .. ..$ short.name : chr "b12"
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## .. .. .. ..$ output.name : chr "beta[12] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[12] for lp_scale"
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## .. .. .. ..$ short.name : chr "b13"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[13] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[13] for lp_scale"
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## .. .. .. ..$ short.name : chr "b14"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[14] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[14] for lp_scale"
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## .. .. .. ..$ short.name : chr "b15"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[15] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[15] for lp_scale"
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## .. .. ..$ theta16 :List of 11
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## .. .. .. ..$ short.name : chr "b16"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[16] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[16] for lp_scale"
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## .. .. .. ..$ short.name : chr "b17"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[17] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[17] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta18 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b18"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[18] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[18] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta19 :List of 11
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## .. .. .. ..$ name : chr "beta19"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b19"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[19] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[19] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b20"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[20] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[20] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b21"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[21] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[21] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b22"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[22] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[22] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ name : chr "beta23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b23"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[23] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[23] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b24"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[24] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[24] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta25 :List of 11
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## .. .. .. ..$ short.name : chr "b25"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[25] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[25] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta26 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b26"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[26] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[26] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. ..$ theta27 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b27"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[27] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[27] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta28 :List of 11
## .. .. .. ..$ hyperid : num 103028
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b28"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[28] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[28] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b29"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[29] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b30"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[30] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ name : chr "beta31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b31"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[31] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b32"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[32] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta33 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b33"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[33] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta34 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b34"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[34] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta35 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b35"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[35] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta36 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b36"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[36] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta37 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b37"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[37] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta38 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b38"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[38] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta39 :List of 11
## .. .. .. ..$ hyperid : num 103039
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b39"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[39] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta40 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b40"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[40] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta41 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b41"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[41] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta42 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b42"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[42] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta43 :List of 11
## .. .. .. ..$ hyperid : num 103043
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b43"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[43] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[43] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta44 :List of 11
## .. .. .. ..$ hyperid : num 103044
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta44"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b44"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[44] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[44] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta45 :List of 11
## .. .. .. ..$ hyperid : num 103045
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta45"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b45"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[45] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[45] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. ..$ name : chr "beta46"
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## .. .. .. ..$ short.name : chr "b46"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[46] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[46] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
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## .. .. .. ..$ short.name : chr "b47"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[47] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[47] for lp_scale"
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b48"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[48] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[48] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
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## .. .. .. ..$ name : chr "beta49"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b49"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[49] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[49] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta50 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta50"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b50"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[50] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[50] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta51 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta51"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b51"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[51] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[51] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta52 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta52"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b52"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[52] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[52] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta53 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta53"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b53"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[53] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[53] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta54 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta54"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b54"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[54] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[54] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta55 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta55"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b55"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[55] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[55] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta56 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta56"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b56"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[56] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[56] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta57 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta57"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b57"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[57] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[57] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta58 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta58"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b58"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[58] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[58] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta59 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta59"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b59"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[59] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[59] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta60 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta60"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b60"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[60] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[60] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
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## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta61 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta61"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b61"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[61] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[61] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta62 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta62"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b62"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[62] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[62] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta63 :List of 11
## .. .. .. ..$ hyperid : num 103063
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta63"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b63"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[63] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[63] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
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## .. .. .. ..$ param : num [1:2] 1 10
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[64] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[64] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta65 :List of 11
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## .. .. .. ..$ name : chr "beta65"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b65"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[65] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[65] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta66 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b66"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[66] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[66] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta67 :List of 11
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## .. .. .. ..$ name : chr "beta67"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b67"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[67] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[67] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta68 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta68"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b68"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[68] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[68] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
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## .. .. ..$ theta69 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta69"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b69"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[69] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[69] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta70 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b70"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[70] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[70] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta71 :List of 11
## .. .. .. ..$ hyperid : num 103071
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta71"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b71"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[71] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[71] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta72 :List of 11
## .. .. .. ..$ hyperid : num 103072
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b72"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[72] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta73 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta73"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b73"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[73] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[73] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta74 :List of 11
## .. .. .. ..$ hyperid : num 103074
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta74"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b74"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[74] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[74] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta75 :List of 11
## .. .. .. ..$ hyperid : num 103075
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta75"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b75"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[75] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[75] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta76 :List of 11
## .. .. .. ..$ hyperid : num 103076
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta76"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b76"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[76] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[76] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
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## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta77 :List of 11
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta77"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b77"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[77] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[77] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta78 :List of 11
## .. .. .. ..$ hyperid : num 103078
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b78"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[78] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta79 :List of 11
## .. .. .. ..$ hyperid : num 103079
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b79"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[79] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta80 :List of 11
## .. .. .. ..$ hyperid : num 103080
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b80"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[80] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ initial : num 1
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ fixed : logi FALSE
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ prior : chr "normal"
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## .. .. .. ..$ param : num [1:2] 1 10
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ to.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. .. ..$ from.theta :function (x)
## .. .. .. .. ..- attr(*, "inla.read.only")= logi TRUE
## .. .. ..$ theta81 :List of 11
## .. .. .. ..$ hyperid : num 103081
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ name : chr "beta81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b81"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[81] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[88] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[88] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[89] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[89] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ short.name : chr "b90"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[90] for lp_scale"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name.intern: chr "beta[90] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[91] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[91] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b92"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[92] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[92] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[93] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[93] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[95] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[95] for lp_scale"
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## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[96] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[96] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## .. .. .. ..$ short.name : chr "b97"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[97] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[97] for lp_scale"
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## .. .. ..$ theta98 :List of 11
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## .. .. .. ..$ short.name : chr "b98"
## .. .. .. .. ..- attr(*, "inla.read.only")= logi FALSE
## .. .. .. ..$ output.name : chr "beta[98] for lp_scale"
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## .. .. .. ..$ output.name.intern: chr "beta[98] for lp_scale"
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## .. .. .. ..$ to.theta :function (x)
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## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. ..$ fem_mesh :List of 5
## .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. ..@ i : int [1:147901] 0 1 230 983 984 985 986 989 1700 1701 ...
## .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 28 52 89 122 151 171 209 249 274 ...
## .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..@ x : num [1:147901] 1.41e+12 -1.06e+12 -2.25e+11 1.91e+11 -1.41e+12 ...
## .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. ..$ model :List of 20
## .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. ..$ ints :List of 6
## .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:135512] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:135512] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. ..$ rspde_order: int 2
## .. .. .. .. .. .. .. .. .. ..$ matern_par : int 1
## .. .. .. .. .. .. .. .. ..$ doubles :List of 9
## .. .. .. .. .. .. .. .. .. ..$ d : num 1
## .. .. .. .. .. .. .. .. .. ..$ nu_upper_bound : num 1.5
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 4.64 1.51 0 0
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 4.64 1.51 0 0
## .. .. .. .. .. .. .. .. ..$ characters:List of 4
## .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. ..$ matrices :List of 4
## .. .. .. .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. .. .. .. .. .. .. ..$ B_tau : num [1:35847] 7169 5 -1.15 -1 0.75 ...
## .. .. .. .. .. .. .. .. .. ..$ B_kappa : num [1:35847] 7169 5 0.896 0 -1 ...
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. .. .. .. .. .. .. ..$ smatrices :List of 2
## .. .. .. .. .. .. .. .. .. ..$ C: num [1:21510] 7169 7169 7169 0 1 ...
## .. .. .. .. .. .. .. .. .. ..$ G: num [1:74640] 7169 7169 24879 0 1 ...
## .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. ..$ cgeneric_type : chr "general"
## .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 4.64 1.51 0 0
## .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. ..$ loglocation: num -0.288
## .. .. .. .. .. .. ..$ mean : num 0.75
## .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. ..$ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. ..$ integer.nu : logi FALSE
## .. .. .. .. .. ..$ start.theta : num [1:4] 4.64 1.51 0 0
## .. .. .. .. .. ..$ stationary : logi FALSE
## .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. ..$ est_nu : logi TRUE
## .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. ..$ fem_mesh :List of 5
## .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. ..@ i : int [1:147901] 0 1 230 983 984 985 986 989 1700 1701 ...
## .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 28 52 89 122 151 171 209 249 274 ...
## .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. ..@ x : num [1:147901] 1.41e+12 -1.06e+12 -2.25e+11 1.91e+11 -1.41e+12 ...
## .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. ..$ type : chr "cgeneric"
## .. .. .. .. ..$ n : num 21507
## .. .. .. .. ..$ values : int [1:21507] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ group :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : int 1
## .. .. .. .. .. ..$ label : chr "field.group"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 1
## .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "exchangeable"
## .. .. .. .. ..$ type : chr "exchangeable"
## .. .. .. .. ..$ n : num 1
## .. .. .. .. ..$ values : int 1
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ replicate :List of 8
## .. .. .. .. ..$ input :List of 4
## .. .. .. .. .. ..$ input : language data_rspde_bru_nonstat[["repl"]]
## .. .. .. .. .. ..$ label : chr "field.repl"
## .. .. .. .. .. ..$ layer : NULL
## .. .. .. .. .. ..$ selector: NULL
## .. .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_input" "list"
## .. .. .. .. ..$ mapper :List of 4
## .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. ..$ model : chr "iid"
## .. .. .. .. ..$ type : chr "iid"
## .. .. .. .. ..$ n : int 4
## .. .. .. .. ..$ values : int [1:4] 1 2 3 4
## .. .. .. .. ..$ season.length : NULL
## .. .. .. .. ..$ factor_mapping: NULL
## .. .. .. .. ..- attr(*, "class")= chr [1:2] "bru_subcomponent" "list"
## .. .. .. ..$ weights : NULL
## .. .. .. ..$ copy : NULL
## .. .. .. ..$ marginal : NULL
## .. .. .. ..$ env :<environment: R_GlobalEnv>
## .. .. .. ..$ env_extra :<environment: 0x59ebc2b804a8>
## .. .. .. ..$ fcall : language "f"(field, model = BRU_field_main_model, replicate = field.repl, ngroup = 1, nrep = 4L, values = BRU_field_values)
## .. .. .. ..$ mapper :List of 6
## .. .. .. .. ..$ mappers :List of 2
## .. .. .. .. .. ..$ mapper:List of 9
## .. .. .. .. .. .. ..$ mappers :List of 3
## .. .. .. .. .. .. .. ..$ main :List of 1
## .. .. .. .. .. .. .. .. ..$ model:List of 20
## .. .. .. .. .. .. .. .. .. ..$ f :List of 3
## .. .. .. .. .. .. .. .. .. .. ..$ model : chr "cgeneric"
## .. .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. .. ..$ cgeneric:List of 5
## .. .. .. .. .. .. .. .. .. .. .. ..$ model: chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. .. .. .. .. .. .. .. .. ..$ shlib: chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. .. .. ..$ debug: logi FALSE
## .. .. .. .. .. .. .. .. .. .. .. ..$ data :List of 5
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ ints :List of 6
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ n : int 21507
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ debug : int 0
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_i: int [1:135512] 0 0 0 0 0 0 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ graph_opt_j: int [1:135512] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ rspde_order: int 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ matern_par : int 1
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ doubles :List of 9
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ d : num 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ nu_upper_bound : num 1.5
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.logscale : num 1
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.mean : num 0.75
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.prec : num 3
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 4.64 1.51 0 0
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 4.64 1.51 0 0
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ characters:List of 4
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ model : chr "inla_cgeneric_rspde_nonstat_general_model"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ shlib : chr "/home/rierasl/R/x86_64-pc-linux-gnu-library/4.3/INLA/bin/linux/64bit/external/rSPDE/librSPDE.so"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ prior.theta.param: chr "theta"
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ matrices :List of 4
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ rational_table : num [1:5996] 999 6 0.001 0.412 0.005 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ B_tau : num [1:35847] 7169 5 -1.15 -1 0.75 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ B_kappa : num [1:35847] 7169 5 0.896 0 -1 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec: num [1:18] 4 4 0.1 0 0 0 0 0.1 0 0 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..$ smatrices :List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ C: num [1:21510] 7169 7169 7169 0 1 ...
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ G: num [1:74640] 7169 7169 24879 0 1 ...
## .. .. .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr "inla.cgeneric"
## .. .. .. .. .. .. .. .. .. ..$ cgeneric_type : chr "general"
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.mean : num [1:4] 4.64 1.51 0 0
## .. .. .. .. .. .. .. .. .. ..$ prior.nu :List of 4
## .. .. .. .. .. .. .. .. .. .. ..$ loglocation: num -0.288
## .. .. .. .. .. .. .. .. .. .. ..$ mean : num 0.75
## .. .. .. .. .. .. .. .. .. .. ..$ prec : num 3
## .. .. .. .. .. .. .. .. .. .. ..$ logscale : num 1
## .. .. .. .. .. .. .. .. .. ..$ theta.prior.prec : num [1:4, 1:4] 0.1 0 0 0 0 0.1 0 0 0 0 ...
## .. .. .. .. .. .. .. .. .. ..$ start.nu : num 0.75
## .. .. .. .. .. .. .. .. .. ..$ integer.nu : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ start.theta : num [1:4] 4.64 1.51 0 0
## .. .. .. .. .. .. .. .. .. ..$ stationary : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ rspde.order : num 2
## .. .. .. .. .. .. .. .. .. ..$ dim : num 1
## .. .. .. .. .. .. .. .. .. ..$ est_nu : logi TRUE
## .. .. .. .. .. .. .. .. .. ..$ nu.upper.bound : num 1.5
## .. .. .. .. .. .. .. .. .. ..$ prior.nu.dist : chr "lognormal"
## .. .. .. .. .. .. .. .. .. ..$ debug : logi FALSE
## .. .. .. .. .. .. .. .. .. ..$ type.rational.approx: chr "chebfun"
## .. .. .. .. .. .. .. .. .. ..$ mesh :Classes 'metric_graph', 'R6' <metric_graph>
## Public:
## add_mesh_observations: function (data = NULL, group = NULL)
## add_observations: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## build_mesh: function (h = NULL, n = NULL, continuous = TRUE, continuous.outs = FALSE,
## buildC: function (alpha = 2, edge_constraint = FALSE)
## buildDirectionalConstraints: function (alpha = 1)
## C: NULL
## characteristics: list
## check_distance_consistency: function ()
## check_euclidean: function ()
## clear_observations: function ()
## clone: function (deep = FALSE)
## CoB: NULL
## compute_characteristics: function (check_euclidean = FALSE)
## compute_fem: function (petrov = FALSE)
## compute_geodist: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_geodist_mesh: function ()
## compute_geodist_PtE: function (PtE, normalized = TRUE, include_vertices = TRUE, verbose = 0)
## compute_laplacian: function (full = FALSE, obs = TRUE, group = NULL, verbose = 0)
## compute_PtE_edges: function ()
## compute_resdist: function (full = FALSE, obs = TRUE, group = NULL, check_euclidean = FALSE,
## compute_resdist_mesh: function ()
## compute_resdist_PtE: function (PtE, normalized = TRUE, include_vertices = FALSE, check_euclidean = FALSE,
## coordinates: function (PtE = NULL, XY = NULL, normalized = TRUE)
## drop_na: function (...)
## E: 1 3 3 6 4 7 9 11 13 14 15 16 18 19 20 21 23 25 27 29 31 ...
## edge_lengths: 0.0363234139144278 0.01586106867077 0.027923568765887 0. ...
## edges: metric_graph_edges
## edgeweight_to_data: function (loc = NULL, mesh = FALSE, data_loc = FALSE, weight_col = NULL,
## fem_basis: function (PtE)
## filter: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## geo_dist: list
## get_data: function (group = NULL, tibble = TRUE, drop_na = FALSE, drop_all_na = TRUE)
## get_degrees: function (which = "degree")
## get_edge_lengths: function (unit = NULL)
## get_edge_weights: function (data.frame = FALSE, tibble = TRUE)
## get_groups: function (get_cols = FALSE)
## get_initial_graph: function ()
## get_locations: function ()
## get_mesh_locations: function (bru = FALSE, loc = NULL, normalized = TRUE)
## get_PtE: function ()
## get_vertices_incomp_dir: function ()
## initialize: function (edges = NULL, V = NULL, E = NULL, vertex_unit = NULL,
## is_tree: function ()
## Laplacian: NULL
## mesh: list
## mesh_A: function (PtE)
## mutate: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## nE: 6827
## nV: 4017
## observation_to_vertex: function (tolerance = 1e-15, mesh_warning = TRUE)
## plot: function (data = NULL, newdata = NULL, group = 1, plotly = FALSE,
## plot_connections: function ()
## plot_function: function (data = NULL, newdata = NULL, group = 1, X = NULL, plotly = FALSE,
## plot_movie: function (X, plotly = TRUE, vertex_size = 5, vertex_color = "black",
## print: function ()
## process_data: function (data = NULL, edge_number = "edge_number", distance_on_edge = "distance_on_edge",
## prune_vertices: function (check_weights = TRUE, verbose = FALSE)
## PtV: NULL
## res_dist: NULL
## select: function (..., .drop_na = FALSE, .drop_all_na = TRUE)
## set_edge_weights: function (weights = rep(1, self$nE), kirchhoff_weights = NULL)
## summarise: function (..., .include_graph_groups = FALSE, .groups = NULL,
## summary: function (messages = FALSE, compute_characteristics = TRUE, check_euclidean = TRUE,
## V: -122.41277 -122.41249 -122.40376 -122.40358 -122.40379 - ...
## vertices: metric_graph_vertices
## VtEfirst: function ()
## Private:
## A: function (group = NULL, obs_to_vert = FALSE, drop_na = FALSE,
## add_vertices: function (PtE, tolerance = 1e-10, verbose)
## addinfo: FALSE
## clear_initial_info: function ()
## compute_degrees: function ()
## compute_laplacian_PtE: function (PtE, normalized = TRUE, verbose = verbose)
## compute_lengths: function (longlat, unit, crs, proj4string, which_longlat, vertex_unit,
## connected: TRUE
## coordinates_multiple_snaps: function (XY, tolerance, verbose = verbose, crs, proj4string,
## create_update_vertices: function ()
## crs: crs
## data: metric_graph_data, list
## edge_weights: tbl_df, tbl, data.frame
## find_edge_edge_points: function (tol, verbose, crs, proj4string, longlat, fact, which_longlat)
## find_mesh_bc: function ()
## get_edge_weights_internal: function (data.frame = FALSE)
## group_col: .group
## initial_edges_added: NULL
## initial_graph: metric_graph, R6
## kirchhoff_weights: NULL
## length_unit: km
## line_to_vertex: function (tolerance = 0, longlat = FALSE, fact, verbose, crs,
## longlat: TRUE
## merge_close_vertices: function (tolerance, fact)
## merge.all.deg2: function ()
## mesh_merge_deg2: function ()
## mesh_merge_outs: function ()
## move_V_first: function ()
## plot_2d: function (line_width = 0.1, marker_size = 1, vertex_color = "black",
## plot_3d: function (line_width = 1, marker_size = 1, vertex_color = "rgb(0,0,0)",
## proj4string: NULL
## prune_warning: FALSE
## pruned: FALSE
## PtE_to_mesh: function (PtE)
## ref_edges: 1 1552 2 5 3133 4 6 395 7 526 8 6466 9 10 11 12 38 13 14 ...
## remove_circles: function (threshold, verbose, longlat, unit, crs, proj4string,
## remove.first.deg2: function (res)
## set_first_weights: function (weights = rep(1, self$nE))
## set_petrov_matrices: function ()
## split_edge: function (Ei, t, tolerance = 0)
## temp_PtE: NULL
## tolerance: list
## transform: FALSE
## vertex_unit: degrees
## which_longlat: sf
## .. .. .. .. .. .. .. .. .. ..$ fem_mesh :List of 5
## .. .. .. .. .. .. .. .. .. .. ..$ c0:Formal class 'dgTMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ j : int [1:7169] 0 1 2 3 4 5 6 7 8 9 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:7169] 0.0797 0.1564 0.1117 0.0493 0.0614 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g1:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:24879] 0 1 985 0 1 1700 5207 5364 6858 7041 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 3 10 16 20 23 27 36 44 50 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:24879] 101.1 -55.1 -46.1 -55.1 216.4 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g2:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:56007] 0 1 985 986 1700 4722 5207 5364 6240 6858 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 11 22 34 43 52 61 76 89 99 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:56007] 172097 -145986 -232979 119006 15770 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g3:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:96755] 0 1 230 984 985 986 1700 1701 2280 2455 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 17 35 57 76 91 103 126 150 166 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:96755] 3.94e+08 -3.74e+08 -2.65e+07 -9.14e+07 -1.47e+09 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. .. ..$ g4:Formal class 'dgCMatrix' [package "Matrix"] with 6 slots
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ i : int [1:147901] 0 1 230 983 984 985 986 989 1700 1701 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ p : int [1:7170] 0 28 52 89 122 151 171 209 249 274 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dim : int [1:2] 7169 7169
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ Dimnames:List of 2
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. .. ..$ : NULL
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ x : num [1:147901] 1.41e+12 -1.06e+12 -2.25e+11 1.91e+11 -1.41e+12 ...
## .. .. .. .. .. .. .. .. .. .. .. .. ..@ factors : list()
## .. .. .. .. .. .. .. .. .. ..$ parameterization : chr "matern"
## .. .. .. .. .. .. .. .. .. ..$ n.spde : int 7169
## .. .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "rspde_metric_graph" "inla_rspde" "inla.cgeneric"
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_inla_rspde" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ group :List of 1
## .. .. .. .. .. .. .. .. ..$ n: num 1
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_index" "bru_mapper" "list"
## .. .. .. .. .. .. .. ..$ replicate:List of 4
## .. .. .. .. .. .. .. .. ..$ levels : chr [1:4] "1" "2" "3" "4"
## .. .. .. .. .. .. .. .. ..$ factor_mapping: chr "full"
## .. .. .. .. .. .. .. .. ..$ indexed : logi TRUE
## .. .. .. .. .. .. .. .. ..$ n : int 4
## .. .. .. .. .. .. .. .. ..- attr(*, "class")= chr [1:4] "bru_mapper_factor_index" "bru_mapper_factor" "bru_mapper" "list"
## .. .. .. .. .. .. ..$ n_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 21507
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ n_inla_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : num 21507
## .. .. .. .. .. .. .. ..$ group : num 1
## .. .. .. .. .. .. .. ..$ replicate: int 4
## .. .. .. .. .. .. ..$ values_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:21507] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ values_inla_multi:List of 3
## .. .. .. .. .. .. .. ..$ main : int [1:21507] 1 2 3 4 5 6 7 8 9 10 ...
## .. .. .. .. .. .. .. ..$ group : int 1
## .. .. .. .. .. .. .. ..$ replicate: int [1:4] 1 2 3 4
## .. .. .. .. .. .. ..$ is_linear_multi :List of 3
## .. .. .. .. .. .. .. ..$ main : logi TRUE
## .. .. .. .. .. .. .. ..$ group : logi TRUE
## .. .. .. .. .. .. .. ..$ replicate: logi TRUE
## .. .. .. .. .. .. ..$ n : num 86028
## .. .. .. .. .. .. ..$ n_inla : num 86028
## .. .. .. .. .. .. ..$ is_linear : logi TRUE
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_multi" "bru_mapper" "list"
## .. .. .. .. .. ..$ scale : list()
## .. .. .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_scale" "bru_mapper" "list"
## .. .. .. .. ..$ : Named logi [1:2] TRUE TRUE
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ is_linear: logi TRUE
## .. .. .. .. ..$ n_multi : Named int [1:2] 86028 NA
## .. .. .. .. .. ..- attr(*, "names")= chr [1:2] "mapper" "scale"
## .. .. .. .. ..$ n : num 86028
## .. .. .. .. ..$ names : chr [1:2] "mapper" "scale"
## .. .. .. .. ..- attr(*, "class")= chr [1:3] "bru_mapper_pipe" "bru_mapper" "list"
## .. .. .. ..- attr(*, "class")= chr [1:2] "component" "list"
## .. .. ..- attr(*, "class")= chr [1:2] "component_list" "list"
## .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..$ formula:Class 'formula' language BRU_response ~ f(Intercept, model = BRU_Intercept_main_model, ngroup = 1, nrep = 1, values = BRU_Intercept_v| __truncated__ ...
## .. .. .. ..- attr(*, ".Environment")=<environment: R_GlobalEnv>
## .. ..- attr(*, "class")= chr [1:2] "bru_model" "list"
## ..$ lhoods :List of 1
## .. ..$ :List of 17
## .. .. ..$ family : chr "gaussian"
## .. .. ..$ formula :Class 'formula' language speed ~ .
## .. .. .. .. ..- attr(*, ".Environment")=<environment: 0x59ebcf822620>
## .. .. ..$ response_data :List of 4
## .. .. .. ..$ BRU_response: num [1:14534] 0 12.9 24.1 32.2 0 ...
## .. .. .. ..$ BRU_E : num 1
## .. .. .. ..$ BRU_Ntrials : num 1
## .. .. .. ..$ BRU_scale : num 1
## .. .. ..$ data :List of 8
## .. .. .. ..$ speed : num [1:14534] 0 12.9 24.1 32.2 0 ...
## .. .. .. ..$ SpeedLimit : num [1:14534] -0.101 -0.617 -0.617 -0.617 -0.927 ...
## .. .. .. ..$ .coord_x : num [1:14534] -122 -122 -122 -122 -122 ...
## .. .. .. ..$ .coord_y : num [1:14534] 37.8 37.8 37.8 37.8 37.8 ...
## .. .. .. ..$ .edge_number : num [1:14534] 1 4 6 6 9 14 14 14 18 20 ...
## .. .. .. ..$ .distance_on_edge: num [1:14534] 0.437 0.144 0.252 0.658 0.601 ...
## .. .. .. ..$ .group : chr [1:14534] "1" "1" "1" "1" ...
## .. .. .. ..$ loc : num [1:14534, 1:2] 1 4 6 6 9 14 14 14 18 20 ...
## .. .. .. ..- attr(*, "class")= chr [1:2] "metric_graph_data" "list"
## .. .. ..$ E : num 1
## .. .. ..$ Ntrials : num 1
## .. .. ..$ weights : num 1
## .. .. ..$ scale : num 1
## .. .. ..$ samplers : NULL
## .. .. ..$ linear : logi TRUE
## .. .. ..$ expr : NULL
## .. .. ..$ response : chr "BRU_response"
## .. .. ..$ inla.family : chr "gaussian"
## .. .. ..$ domain : NULL
## .. .. ..$ used :List of 2
## .. .. .. ..$ effect: chr [1:2] "Intercept" "field"
## .. .. .. ..$ latent: chr(0)
## .. .. .. ..- attr(*, "class")= chr "bru_used"
## .. .. ..$ allow_combine : logi TRUE
## .. .. ..$ control.family: NULL
## .. .. ..- attr(*, "class")= chr [1:2] "bru_like" "list"
## .. ..- attr(*, "class")= chr [1:2] "bru_like_list" "list"
## ..$ options :List of 14
## .. ..$ bru_verbose : num 0
## .. ..$ bru_verbose_store: num Inf
## .. ..$ bru_max_iter : num 1
## .. ..$ bru_run : logi TRUE
## .. ..$ bru_int_args :List of 3
## .. .. ..$ method: chr "stable"
## .. .. ..$ nsub1 : num 30
## .. .. ..$ nsub2 : num 9
## .. ..$ bru_method :List of 6
## .. .. ..$ taylor : chr "pandemic"
## .. .. ..$ search : chr "all"
## .. .. ..$ factor : num 1.62
## .. .. ..$ rel_tol : num 0.1
## .. .. ..$ max_step : num 2
## .. .. ..$ line_opt_method: chr "onestep"
## .. ..$ bru_compress_cp : logi TRUE
## .. ..$ bru_debug : logi FALSE
## .. ..$ E : num 1
## .. ..$ Ntrials : num 1
## .. ..$ control.compute :List of 3
## .. .. ..$ config: logi TRUE
## .. .. ..$ dic : logi TRUE
## .. .. ..$ waic : logi TRUE
## .. ..$ control.inla :List of 1
## .. .. ..$ int.strategy: chr "auto"
## .. ..$ control.fixed :List of 1
## .. .. ..$ expand.factor.strategy: chr "inla"
## .. ..$ verbose : logi FALSE
## .. ..- attr(*, "class")= chr [1:2] "bru_options" "list"
## ..$ inlabru_version: Named chr "2.10.1.9004"
## .. ..- attr(*, "names")= chr "version"
## ..$ INLA_version : Named chr "24.04.22"
## .. ..- attr(*, "names")= chr "version"
## ..- attr(*, "class")= chr [1:2] "bru_info" "list"
## - attr(*, "class")= chr [1:3] "bru" "iinla" "inla"nonstat.time.fin <- Sys.time()
print(nonstat.time.fin - nonstat.time.ini)## Time difference of 7.389022 minssummary(rspde_fit_nonstat)## inlabru version: 2.10.1.9004
## INLA version: 24.04.22
## Components:
## Intercept: main = linear(1), group = exchangeable(1L), replicate = iid(1L)
## field: main = cgeneric(loc), group = exchangeable(1L), replicate = iid(data_rspde_bru_nonstat[["repl"]])
## Likelihoods:
## Family: 'gaussian'
## Data class: 'metric_graph_data', 'list'
## Predictor: speed ~ .
## Time used:
## Pre = 0.18, Running = 359, Post = 6.42, Total = 366
## Fixed effects:
## mean sd 0.025quant 0.5quant 0.975quant mode kld
## Intercept 20.575 0.865 18.881 20.575 22.27 20.575 0
##
## Random effects:
## Name Model
## field CGeneric
##
## Model hyperparameters:
## mean sd 0.025quant 0.5quant
## Precision for the Gaussian observations 0.012 0.000 0.012 0.012
## Theta1 for field 4.023 0.151 3.781 4.007
## Theta2 for field 1.806 0.198 1.430 1.802
## Theta3 for field -0.320 0.056 -0.445 -0.315
## Theta4 for field -0.795 0.053 -0.899 -0.795
## Theta5 for field -0.831 0.203 -1.182 -0.844
## 0.975quant mode
## Precision for the Gaussian observations 0.012 0.012
## Theta1 for field 4.362 3.930
## Theta2 for field 2.208 1.782
## Theta3 for field -0.226 -0.291
## Theta4 for field -0.690 -0.796
## Theta5 for field -0.391 -0.912
##
## Deviance Information Criterion (DIC) ...............: 107824.19
## Deviance Information Criterion (DIC, saturated) ....: 16647.59
## Effective number of parameters .....................: 2479.40
##
## Watanabe-Akaike information criterion (WAIC) ...: 108527.71
## Effective number of parameters .................: 2658.32
##
## Marginal log-Likelihood: -55665.33
## is computed
## Posterior summaries for the linear predictor and the fitted values are computed
## (Posterior marginals needs also 'control.compute=list(return.marginals.predictor=TRUE)')summary(rspde.result(rspde_fit_nonstat, "field", rspde_model_nonstat))## mean sd 0.025quant 0.5quant 0.975quant mode
## Theta1.matern 4.022510 0.1507140 3.781260 4.006780 4.362010 3.930410
## Theta2.matern 1.805870 0.1977280 1.429560 1.801600 2.208240 1.782300
## Theta3.matern -0.319744 0.0563416 -0.444517 -0.315044 -0.226052 -0.291019
## Theta4.matern -0.795219 0.0530816 -0.899427 -0.795322 -0.690413 -0.795751
## nu 0.457428 0.0646221 0.352491 0.449324 0.603249 0.4262301.3 Crossvalidation 1
#load(here("Models_output/distmatrixfixed.RData"))
points = data %>%
as.data.frame() %>%
st_as_sf(coords = c(".coord_x", ".coord_y"), crs = 4326) %>%
mutate(., index = 1:nrow(.)) %>%
st_drop_geometry() %>%
dplyr:::select(speed, .group, index) %>%
mutate(.group = as.numeric(.group)) %>%
group_by(.group) %>%
mutate(indexingroup = seq_len(n())) %>%
ungroup()
distance = seq(from = 0, to = 400, by = 20)/1000
#save(GROUPS, file = here("Models_output/GROUPS_for_window_case.RData"))load(here("Models_output/GROUPS_for_window_case.RData"))
mse.stat <- mse.nonstat <- ls.stat <- ls.nonstat <- rep(0,length(distance))
# cross-validation for-loop
for (j in 1:length(distance)) {
print(j)
# cross-validation of the stationary model
cv.stat <- inla.group.cv(rspde_fit_stat, groups = GROUPS[[j]])
# cross-validation of the nonstationary model
cv.nonstat <- inla.group.cv(rspde_fit_nonstat, groups = GROUPS[[j]])
# obtain MSE and LS
mse.stat[j] <- mean((cv.stat$mean - points$speed)^2)
mse.nonstat[j] <- mean((cv.nonstat$mean - points$speed)^2)
ls.stat[j] <- mean(log(cv.stat$cv))
ls.nonstat[j] <- mean(log(cv.nonstat$cv))
}
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## plot results
par(mfrow = c(2,2), family = "Palatino")
# Plot MSE
plot(distance, mse.stat, main = "MSE", ylim = c(min(mse.nonstat, mse.stat), max(mse.nonstat, mse.stat)),
type = "l", ylab = "MSE", xlab = "distance in m", col = "black")
lines(distance, mse.nonstat, col = "blue")
legend("bottomright", legend = c("Stationary", "Non-stationary"), col = c("black", "blue"), lty = 1)
# Plot log-score
plot(distance, -ls.stat, main = "log-score", ylim = c(min(-ls.nonstat, -ls.stat), max(-ls.nonstat, -ls.stat)),
type = "l", ylab = "log-score", xlab = "distance in m", col = "black")
lines(distance, -ls.nonstat, col = "blue")
legend("bottomright", legend = c("Stationary", "Non-stationary"), col = c("black", "blue"), lty = 1)
save.image(here(paste0("Models_output/", rmarkdown::metadata$title, ".RData")))